Construction of Tourist Satisfaction Degree Evaluation Model in Western Tourist Area by Performance Prism and Fuzzy Comprehensive Evaluation Method——with Lijiang in Yunnan Province as the Study Case

Starting from the utilization and protection of local knowledge, with the performance prism as the framework, the evaluation index system of tourist satisfaction degree was established. The weight was determined by using AHP method. Finally, the investigating result was judged with fuzzy comprehensive evaluation method, the evaluation model of tourist satisfaction degree in western tourist area was built, and the case study was carried out. With Lijiang in Yunnan Province as example, according to AHP method, five dimensions weight of the performance prism, various KPI weight and consistency were obtained, fuzzy evaluation on tourist satisfaction degree was conducted. The results showed that the overall was satisfactory, but there were still some problems. Aiming at the utilization and protection of local knowledge, some corresponding countermeasures were put forward which will benefit for further development of tourism in Lijiang of Yunnan Province.

Evaluation on the development degree of China's seven pilot carbon markets

China is preparing to establish a nationwide carbon market in 2017, and in order to facilitate this goal, seven pilot carbon markets have been under study for the past few years. This paper summarizes the operation experience and challenges of the seven pilot carbon markets in China.It has been widely accepted that the essence of a carbon market is to solve environmental problems through market mechanisms, with environmental benefit being the fundamental purpose, market mechanism being the key measure, and policies and regulations being an important guarantee for an orderly carbon market. Therefore, this paper constructs an evaluation index system composed of 34 detailed sub-indexes in three dimensions, such as environmental constraint force, market resource allocation ability, and supporting policies and facility completeness. Through analyzing the operation data from 2013 to 2016, the weights of the sub-indexes are obtained. In addition, the study obtains experts' opinions from over 10 carbon permits exchanges, consultancy firms and research institutions in China, and conducts a comprehensive evaluation on the development degree of the seven pilot carbon markets. Results show that the pilot carbon markets that include private SMEs as the covered entities for emissions control present relatively higher environmental constraint force. But too many covered entities could increase the difficulty of market performance management, while the pilots that include high energy-consuming state-owned enterprises as the entities for emissions control demonstrate a phenomenon of "high market compliance rate with low trading volume". The resource allocation capability of China's carbon market has not been effectively brought into play, and low degree of market participation has become an important constraint factor for market development. Due to the lack of laws and regulations at the national macro-level, the legally binding force of the pilot markets construction is obviously insufficient, and the supporting policies are lacking foresights.Generally, the development of China's pilot carbon markets is still in such a fragmented state as in the aspects of environment, market and policy development, and the market operation has not yet achieved the purpose of solving environmental problems through market mechanisms.Accordingly, policy recommendations pointed out by this study are that tightening the allowance of free quota and progressively increasing the auction proportion, improving legal construction,increasing the services and products of carbon finance and standardizing the order of market transactions, enhancing capacity building of local governments and promoting the participation willingness and capability of emissions control entities, will be necessary.

The Role of Computational Intelligence in Sensory Evaluation

Sensory evaluation is the evaluation of signals that a human receives via its senses of sight, smell, taste, touch and hearing. In today’s industrial companies, sensory evaluation is widely used in quality inspection of products, in marketing study and in many other fields such as risk evaluation, investment evaluation and safety evaluation. In practice, setting up a suitable mathematical formulation, an efficient working procedure and a pertinent computing method for sensory evaluation is quite difficult because of uncertainty and imprecision in sensory panels and their results involving linguistic expressions, non normalized data, data reliability, etc. At the present a prime problem of the practitioner is not the lack of useful methods but the lack of transparency in this area. In this tutorial lecture, we briefly describe some of the technology in the computational intelligence (CI) areas that has been developed for application to sensory evaluation and related fields. Moreover, we will illustrate the role of CI in sensory evaluation related applications from some recent publications.

Evaluation System for Farmers' Satisfaction Degree in the Green Energy Saving Rebuilding of Rural Residence

In view of the present situation of measuring a green residence just by energy saving and environmental protection,we propose that we should build the rural residence more from the farmer's view and set up an evaluation system based on farmers satisfaction.A total of 16 factors affecting the farmers' satisfaction degree of green energy saving rebuilding of rural residence are selected.Questionnaire survey on 110 peasant households is carried out under different situations in Guanzhong region in Shaanxi Province,so as to obtain the importance score of evaluation index.During constructing the evaluation system for farmers' satisfaction degree,Factor Analysis Method is used to classify the related influencing factors.Subjective analysis of Analytic Hierarchy Process and the objective analysis of Factor Analysis Method are combined together to determine the weights of factors at different grades.Then,the final evaluation model is obtained,which provides guidance for the further green energy saving rebuilding of rural residence in China.

Aesthetic Evaluation of Commercial Rooftop Plants Based on Beauty Degree Evaluation Method: A Case Study of Chengdu City, China

Rooftop greening not only has ecological benefits such as energy savings, water conservation and air quality improvement but also has aesthetic and social benefits, especially for the rooftops of commercial complexes, which should meet people’s demand for beauty while satisfying sustainable urban development. In this paper, 80 samples of ten commercial rooftops in five old urban areas of Chengdu, China, were selected as the research objects, and the beauty values of different roof types and different plant community types were quantified by the aesthetic evaluation method, and the factors influencing the beauty values were investigated. The results showed that the highest average SBE value was for plant ornamental roofs (0.635), followed by recreational roofs (0.080), and the lowest average SBE value was for sports and fitness (-0.555);Mixed needle-broad communities had the greatest average SBE value (0.330), followed by mixed bamboo-broad communities (0.094), while pure bamboo forests had the lowest average SBE value (-0.716). The rooftop plant community’s aesthetic value was highly significant and correlated positively with the type of roof, the community’s growth type, its vertical structure, and the number of plants in the community.

Quality Evaluation of Urban Pseudo Habitat Environments Based on the Degree of Public Praise from dianping.com:A Case Study of Liaoning Province

Due to the continuous development of information technology, people's perception of real life is more based on the information acquired on the real environment with the help of various media, rather than intuition. Based on priority evaluation data obtained from dianping.com(Liaoning Province), and the established criteria for assessing pseudo habitat environment quality, this study uses the entropy method to calculate and rank the comprehensive score of each merchant's word-of-mouth evaluation. It analyzes the spatial pattern and differentiation characteristics of pseudo environment quality, as well. Results show that:(1) The overall quality scores of the pseudo living environment in southern, central, and northern Liaoning are higher than those in eastern and western area. The pseudo habitat environment quality score of coastal cities is relatively higher than that of inland cities; and that of cities with high resource depletion is lower.(2) Parent-child activity, learning and training, and sports & health have significant impact, whereas hotels and peripheral tours have less impact on the pseudo habitat environment quality in Liaoning province. The overall pseudo habitat environment quality score of a city is inversely proportional to the total scores of various indicators in the city.(3) The spatial distribution of pseudo habitat quality in Liaoning Province shows a "saddle" structure. The spatial heterogeneity of the pseudo habitat environment in central and northern Liaoning areas is larger than that in eastern, western, and southern areas of Liaoning. The degree of quality of the pseudo habitat environment is proportional to the size of its spatial differentiation degree in total.

Method for Evaluating the Degrees of Land Use Sustainability of Mountainous County and its Application in Yunnan Province,China

The evaluation of sustainable land use is the key issue in the field of studying the sustainable land utilization. In general analysis, the sustainable land use is evaluated respectively from its ecological sustainability, economic sustainability and social sustainability in China and other countries in recent years. Although this evaluation is an important work, it seems insufficient and hard to comprehensively reflect the whole degree of land use sustainability. Thus, to make up this deficiency, this paper brings forward the evaluation indexes, which make it possible to quantitatively reflect the whole degree of land use sustainability, namely, the concept of ＂degrees of overall land use sustainability＂ （Dos）, and research and measurement development of the method of and calculation in Dos. Taking the evaluation of the degree of land use sustainability in county regions of Yunnan Province as the actual example for analysis, results are basically as follows： 1） The degree of land use sustainability （Dos） is the ration index to organically and systematically integrate the degree of ecological friendliness （DeF）, the degree of economic viability （Dev） and the degree of social acceptability （Dsa）, able to comprehensively reflect the whole sustainability degree of regional land use 2） Based on the value of Dos, the grading system and standard for the sustainability of land use may be established and totally divided into five grades, namely, the high-degree sustainability, middle-degree sustainability, low-degree sustainability, conditional sustainability and non-sustainability. Meanwhile, the standard for distinguishing sustainability grades has also been confirmed so as to determine the nature of sustainability degrees in different grades. This makes the possibility for the combination of nature determination with ration in research result and provides with the scientific guideline and decision-making gist for better implementation of sustainable land use strategy. 3） The practice in evaluation of sustainability degree in county regional land use in Yunnan shows that the value of the degree of land use sustainability （Dos） of whole Yunnan Province is only 58.39, belonging to the grade of low-degree sustainability. Two thirds of counties in the whole province represent the grade of ＂conditional sustainability＂ and ＂non-sustainability＂ in the sustainability of land use. Among these counties, 11.11 % shows ＂non- sustainability＇. The lowest degree of land use sustainability appears especially in the middle plateau mountain region of Northeast Yunnan, where the value of Dos in most counties （districts） is below 40 %, belonging to the grade of ＂non-sustainability＂. The sustainability degree in the karst mountainous region in lower-middle plateau mountain region in Southeast Yunnan is generally low and the value of sustainability degree （Dos） in most of the counties （cities and districts） is below 55. The value of sustainability degree （Dos） in most of the counties （cities and districts） in the north, west, northwest and southwest parts of Yunnan is below 55. This article also analyzes the reasons of low degree of sustainability in land use in Yunnan and puts forward the countermeasures to increase the degree of sustainability in land use in the whole province.

Guidelines on clinical research evaluation of artificial intelligence in ophthalmology(2023)

With the upsurge of artificial intelligence(AI)technology in the medical field,its application in ophthalmology has become a cutting-edge research field.Notably,machine learning techniques have shown remarkable achievements in diagnosing,intervening,and predicting ophthalmic diseases.To meet the requirements of clinical research and fit the actual progress of clinical diagnosis and treatment of ophthalmic AI,the Ophthalmic Imaging and Intelligent Medicine Branch and the Intelligent Medicine Committee of Chinese Medicine Education Association organized experts to integrate recent evaluation reports of clinical AI research at home and abroad and formed a guideline on clinical research evaluation of AI in ophthalmology after several rounds of discussion and modification.The main content includes the background and method of developing this guideline,an introduction to international guidelines on the clinical research evaluation of AI,and the evaluation methods of clinical ophthalmic AI models.This guideline introduces general evaluation methods of clinical ophthalmic AI research,evaluation methods of clinical ophthalmic AI models,and commonly-used indices and formulae for clinical ophthalmic AI model evaluation in detail,and amply elaborates the evaluation methods of clinical ophthalmic AI trials.This guideline aims to provide guidance and norms for clinical researchers of ophthalmic AI,promote the development of regularization and standardization,and further improve the overall level of clinical ophthalmic AI research evaluations.

A quantitative model for danger degree evaluation of staged operation of earth dam reservoir in flood season and its application

Based on the natural disaster risk evaluation mode, a quantitative danger degree evaluation model was developed to evaluate the danger degree of earth dam reservoir staged operation in the flood season. A formula for the overtopping risk rate of the earth dam reservoir staged operation was established, with consideration of the joint effect of flood and wind waves in the flood sub-seasons with the Monte Carlo method, and the integrated overtopping risk rate for the whole flood season was obtained via the total probability approach. A composite normalized function was used to transform the dam overtopping risk rate into the danger degree, on a scale of 0-1. Danger degree gradating criteria were divided by four significant characteristic values of the dam overtopping rate, and corresponding guidelines for danger evaluation are explained in detail in this paper. Examples indicated that the dam overtopping danger degree of the Chengbihe Reservoir in China was 0.33-0.57, within the range of moderate danger level, and the flood-limiting water level （FLWL） can be adjusted to 185.00 m for the early and main flood seasons, and 185.00-187.50 m for the late flood season. The proposed quantitative model offers a theoretical basis for determination of the value of the danger degree of an earth dam reservoir under normal operation as well as the optimal scheduling scheme for the reservoir in each stage of the flood season.

Model of Land Suitability Evaluation Based on Computational Intelligence

A novel model of land suitability evaluation is built based on computational intelligence (CI). A fuzzy neural network (FNN) is constructed by the integration of fuzzy logic and artificial neural network (ANN). The structure and process of this network is clear. Fuzzy rules (knowledge) are expressed in the model explicitly, and can be self-adjusted by learning from samples. Genetic algorithm (GA) is employed as the learning algorithm to train the network, and makes the training of the model efficient. This model is a self-learning and self-adaptive system with a rule set revised by training.

Evaluation of climate comfort based on the relationship between the structure and behavior of a block space in a winter city

This paper focuses on climate comfort degree evaluated from relationships between spatial characteristics and behaviors of a winter city.It is demonstrated that the influences of climatic factors on human comfort are remarkably different for different spatial characteristics and functions of the sites.An evaluation method of climatic comfort is propsed,in which attaining comfort is an adaptation process,and the dynamic changes in the process are according to the user’s subjective tendency to the variations of the spatial characteristics and functions of the space.The evaluation criteria are based on both physical and psychological hierarchy needs of a person,which include the spatial form for microclimatic conditions as well as the spatial social-economic characteristics of a site.To improve the local environment of a winter city by planning measurements,the Harbin Central Pedestrian Street is taken as an example in the application of the evaluation method,and different planning optimizing strategies are proposed accordingly.The results show that the pattern of climate comfort is characterized by reflecting the socialeconomic value and individual behavior characteristics.

Integration degree of tourism industry based on AHP-fuzzy comprehensive evaluation

By reviewing the traditional measure methods of the integration degree of the tourism industry, we concluded that measure methods of the integration degree of the tourism industry can only be limited to the levels of theoretical analysis due to the defect of the statistical data and the statistical structure. With the help of concept of fusion field and fusion entropy of the tourism industry, a physical model of integration of the tourism industry is established and index system based on AHP is proposed. Using AHP-fuzzy comprehensive evaluation method, the integration degree of Jiangsu and the country's tourism industry are studied. The influencing factors are analyzed and the corresponding countermeasures are proposed.

Evaluation and Driving Force Analysis of Cultivated Land Quality in Black Soil Region of Northeast China

Cultivated land is an important natural resource to ensure food,ecological and economic security.The cultivated land quality evaluation(CQE)is greatly significant for protecting and managing cultivated land.In this study,320 counties in the black soil region of Northeast China(BSRNC)represent the research units used to construct the CQE system measuring the soil properties(SP),cultivated land productivity(CLP),ecological environment(EE)and social economy(SE).The total of 19 factors were selected to calculate the integrated fertility index(IFI)and divided into grades.Simultaneously,we used the coupling coordination degree model to comprehensively analyze the spatial pattern of the cultivated land quality(CLQ)in the BSRNC,and use the structural equation model(SEM)to analyze the driving mechanism.The results show the following:1)The CLQ of 262 counties in the BSRNC is in a state of coupling and coordination,and the coupling and coordination degree presents a spatial distribution pattern of‘high in the southwest and northeast,low in the northwest and southeast’.The coordinated development degree of 271 counties is between 0.4 and 0.6,which is in a transitional state between coordination and disorder.2)The CLQ in the BSRNC is generally good,with an average grade of 3.High-quality cultivated land accounts for 58.45%of all counties,middle-and upper-quality cultivated land accounts for 27.05%,and poor-quality cultivated land accounts for 14.49%.3)The SEM analysis shows that the SP,CLP,EE,and SE all influence the CLQ.Among them,the SP has the largest driving force on the CLQ,while the SE has the smallest driving force on it.The results confirm that the main factors affecting the evaluation results are crop productivity level,normalized difference vegetation index,ratio vegetation index,difference vegetation index,and organic carbon content.When implementing protection measures in counties with a low CLQ,considering a balanced coordination of multiple systems and reasonably controlling the quality degradation are important.This study provides the current situation and driving factors of the CLQ in the BSRNC and will play an important role in black soil governance and utilization.

Artificial Intelligence and the Future of Education： Big Promises -Bigger Challenges

The history of educational technology in the last 50 years contains few instances of dramatic improvements in learning based on the adoption of a particular technology.An example involving artificial intelligence occurred in the 1990s with the development of intelligent tutoring systems( ITSs). What happened with ITSs was that their success was limited to well-defined and relatively simple declarative and procedural learning tasks(e. g.,learning how to write a recursive function in LISP; doing multi-column addition),and improvements that were observed tended to be more limited than promised(e. g.,one standard deviation improvement at best rather than the promised standard deviation improvement).Still,there was some progress in terms of how to conceptualize learning. A seldom documented limitation was the notion of only viewing learning from only content and cognitive perspectives( i. e.,in terms of memory limitations,prior knowledge,bug libraries,learning hierarchies and sequences etc.). Little attention was paid to education conceived more broadly than developing specific cognitive skills with highly constrained problems. New technologies offer the potential to create dynamic and multi-dimensional models of a particular learner,and to track large data sets of learning activities,resources,interventions,and outcomes over a great many learners. Using those data to personalize learning for a particular learner developing knowledge,competence and understanding in a specific domain of inquiry is finally a real possibility. While the potential to make significant progress is clearly possible,the reality is less not so promising. There are many as yet unmet challenging some of which will be mentioned in this paper. A persistent worry is that educational technologists and computer scientists will again promise too much,too soon at too little cost and with too little effort and attention to the realities in schools and universities.

Evaluation of the Development of Circular Agriculture in Chongqing City Based on Entropy Method

The circular agriculture is conducive to achieving the purpose of efficient agricultural economy and environment- friendliness.Based on the perspective of circular agriculture theory,this paper builds the evaluation indicator system for circular agriculture,and uses entropy method and Matlab analysis tool to carry out the comprehensive evaluation of the level of agricultural development in Chongqing City during the period 2003- 2012. It analyzes the obstacles to the development of circular agricultural economy in Chongqing City in 2012,and finally puts forward the corresponding recommendations.

Providing Performance Evaluation Indicators for Intelligent Transportation Systems (The Case Study of Tehran-Karaj Freeway Located in Iran)

Intelligent Transportation Systems (ITS) play a fundamental role in reducing traffic congestion and increasing safety during daily transportation. These systems can also be useful in improving social welfare leading to general satisfaction. Proper performance evaluation can be efficient in improving the performance of these systems, and providing a scientific assessment index system can assist decision-makers in smart communities to plan for the development of ITS. However, the evaluation of these systems requires identifying appropriate indicators of performance evaluation that are consistent with the views of the beneficiaries of these systems. In this paper, performance evaluation indicators of ITS have been identified, and three indicators entitled “environmental and safety”, “assistance in reducing traffic congestion” and “attractive public transport” are presented to evaluate the performance of these systems. Moreover, the intelligent transport systems of the Tehran-Karaj Freeway in Iran are studied, and inferential statistical methods are employed to test the research hypotheses. It is worth noticing that in this study, a one-sample T-test method is used for hypotheses assessment and the SPSS software was used to analyze the findings. Also, the results demonstrated that the performance of ITS in the Tehran-Karaj Freeway regarding the indicators, such as “Declaration of route blocking information due to maintenance or reconstruction” and “Declaration of path geometry conditions” has not been acceptable.

Visual Evaluation of Matching Degree between Fisherman Hat and Female Face

By the means of visual evaluation,the matching degree of nine types of fisherman hats and seven face shapes was studied.The characteristics of hats and faces were parameterized,and the images in which seven kinds of faces wore different fisherman hats were processed by Photoshop gray levels.Through a random questionnaire,descriptive analysis,and mean and dispersion analysis,the recommendation table of fisherman hats for different female faces was obtained,and the highly preferred and matching degree types of fisherman hats were obtained.It not only provides reference for virtual hat tests,but also gives references for parameterized hat designs from the collocation aesthetic viewpoint.

Evaluation Indexes of Degree of Closeness between Strategy and Project Portfolio Allocation

The main activities in project portfolio allocation management are selecting the right project components given a strategy. It is crucial to establish a scientific system of evaluation indexes to guarantee the closeness between strategy and project portfolio allocation optimally. With organizations growing in sizes, the functions and objectives of project components are becoming more and more different. It is necessary to set evaluation indexes of the degree of closeness from the perspectives of financial, market share, social effects, and so on according to the strategy-oriented process of project portfolio allocation. This paper proposes a project portfolio allocation process under strategic orientation and evaluation indexes of the degree of closeness between strategy and project portfolio allocation. This will help projects managers make portfolio allocation decisions.

A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics

This paper presents a novel evaluation model of the customer satisfaction degree （CSD） in logistics based on support vector machine （SVM）. Firstly, the relation between the suppliers and the customers is analyzed. Seondly, the evaluation index system and fuzzy quantitative methods are provided. Thirdly, the CSD evaluation system including eight indexes and three ranks based on one-against-one mode of SVM is built, last simulation experint is presented to illustrate the theoretical results.