Agricultural Investment Project Decisions Based on an Interactive Preference Disaggregation Model Considering Inconsistency

Agricultural investment project selection is a complex multi-criteria decision-making problem,as agricultural projects are easily influenced by various risk factors,and the evaluation information provided by decisionmakers usually involves uncertainty and inconsistency.Existing literature primarily employed direct preference elicitation methods to address such issues,necessitating a great cognitive effort on the part of decision-makers during evaluation,specifically,determining the weights of criteria.In this study,we propose an indirect preference elicitation method,known as a preference disaggregation method,to learn decision-maker preference models fromdecision examples.To enhance evaluation ease,decision-makers merely need to compare pairs of alternatives with which they are familiar,also known as reference alternatives.Probabilistic linguistic preference relations are employed to account for the presence of incomplete and uncertain information in such pairwise comparisons.To address the inconsistency among a group of decision-makers,we develop a pair of 0-1mixed integer programming models that consider both the semantics of linguistic terms and the belief degrees of decision-makers.Finally,we conduct a case study and comparative analysis.Results reveal the effectiveness of the proposed model in solving agricultural investment project selection problems with uncertain and inconsistent decision information.

IT Project Evaluation and Investment Decision

There are many kinds of real options,which are valuable,in each phase of the lifetime of an information technology(IT)project.However,in the current IT investment decision theory,real options that embedded in IT projects are not considered. In this paper, the process of IT project decision and implementation is fully analyzed, the real options that may be embedded in an IT project are identified, and a real option analysis (ROA) method is proposed for evaluation of an IT project under uncertain business environment. ROA employs Black-Scholes expansion model and cancels the assumption that the cost of project is certain. The numerical example manifests that the ROA can better evaluate IT project and select the IT investment alternative. Finally, a road map is provided to help selecting the suitable evaluation method to make IT investment decision.

A hybrid heterogeneous Pythagorean fuzzy group decision modelling for crowdfunding development process pathways of fintech‑based clean energy investment projects

This study aims to evaluate the crowdfunding alternatives regarding new service development process pathways of clean energy investment projects.In this framework,a new model has been generated by considering the consensus-based group decisionmaking with incomplete preferences,Pythagorean fuzzy decision-making trial and evaluation laboratory(DEMATEL)and technique for order preference by similarity to ideal solution(TOPSIS).Moreover,a comparative evaluation has been performed with Vise Kriterijumska Optimizacija I.Kompromisno Resenje methodology and sensitivity analysis has been made by considering 4 different cases.The main contribution is to identify appropriate crowdfunding-based funding alternatives for the improvement of the clean energy investments with a novel MCDM model.By considering the iteration technique and consensus-based analysis,the missing parts in the evaluations can be completed and opposite opinion problems can be reduced.Furthermore,with the help of hybrid MCDM model by combining DEMATEL and TOPSIS,more objective results can be reached.It is concluded that the analysis results are coherent and reliable.The findings indicate that the full launch is the most significant criterion for equity and debt-based crowdfunding alternatives.On the other side,the analysis has the highest weight for reward and donation-based alternatives whereas design is the most essential item regarding the royalty-based alternative.Additionally,it is also defined that equity-based crowdfunding alternative is the most significant for the service development process of clean energy investment projects.In this way,it will be possible to provide a continuous resource for clean energy investment projects.On the other hand,by providing financing with equity,there will be no fixed financing cost for clean energy investors.If these investors make a profit,they distribute dividends with the decision of their authorized bodies.

Establishment and optimization of project investment risk income models on the basis of probability χ distribution

In this paper, two kinds of models are presented and optimized for project investment risk income on the basis of probability χ distribution. One kind of model being proved has only a maximal value and another kind being proved has no extreme values.

Consensus‑based multidimensional due diligence of fintech‑enhanced green energy investment projects

The purpose of this study is to provide a hybrid group decision-making approach to evaluate fintech-based financial alternatives for green energy investment projects.First,the multidimensional factors of due diligence for fintech-based financing alternatives of green energy investment projects are identified.In this regard,the balanced scorecard perspectives are considered.Next,consensus-based group decision-making analysis is performed.Second,impact-relation directions for fintech-based financing alternatives of green energy investment projects are defined.For this purpose,the spherical fuzzy Decision-Making Trial and Evaluation Laboratory(DEMATEL)methodology is applied.The novelty of this study is its proposal of a new outlook to due diligence of fintech-project financing for renewable energy investments by using the group and integrated decision-making approaches with spherical fuzzy DEMATEL.The findings indicate that customer expectations are the most essential factor for the revenue sharing and rewarding models.Additionally,this study identified that organizational competency plays the most important role with respect to the peer-to-business debt model.In contrast,the conclusion was reached that financial returns have the greatest importance for the equity sharing model.

Multi-Criteria Decision-Making for Power Grid Construction Project Investment Ranking Based on the Prospect Theory Improved by Rewarding Good and Punishing Bad Linear Transformation

Using the improved prospect theory with the linear transformations of rewarding good and punishing bad(RGPBIT),a new investment ranking model for power grid construction projects(PGCPs)is proposed.Given the uncertainty of each index value under the market environment,fuzzy numbers are used to describe qualitative indicators and interval numbers are used to describe quantitative ones.Taking into account decision-maker’s subjective risk attitudes,a multi-criteria decision-making(MCDM)method based on improved prospect theory is proposed.First,the[−1,1]RGPBIT operator is proposed to normalize the original data,to obtain the best andworst schemes of PGCPs.Furthermore,the correlation coefficients between interval/fuzzy numbers and the best/worst schemes are defined and introduced to the prospect theory to improve its value function and loss function,and the positive and negative prospect value matrices of the project are obtained.Then,the optimization model with the maximum comprehensive prospect value is constructed,the optimal attribute weight is determined,and the PGCPs are ranked accordingly.Taking four PGCPs of the IEEERTS-79 node system as examples,an illustration of the feasibility and effectiveness of the proposed method is provided.

Determination of the Financing Scale,Time Limit and Returns from the Investment in BOT Projects

The key aspect to the successful implementation of BOT concept is the raising of finance by project sponsor,so financial engineering techniques and capital structuring skills are required to find the proper mix of debt and equity.The capital structure and present a model to determine the equity level from the aspects of financing scale,construction time and return on investment are analyzed.The resulting model can help the sponsor to avoid the capital risk,and offer the government a criterion to evaluate management ability of the sponsor.To show the application and availability of this model,a case study is conducted.Thus,this paper is concern with the determination of financing scale,construction time,and return on investment which would assist the sponsor to ensure that the equity level for optimal capital structure is available prior to the implementation stage in BOT project operation.

Foreign Investment Projects(Yinan County,Shandong Province)

1 Shandong Shengle Shoemaking Industrial Group Corp. To import two advanced high-grade shoe material production lines, one for dry processing and the other for wet processing, and printing and environment monitoring equipment for the production of high-grade vamp materials. 2 Shandong Yimeng To import production equipment for

Gansu Province Seeking Investment Projects

(1) Technical transformation of the ICproduction lineChinese enterprise : Tian Guang IC Factorysubordinated to the Gansu Electronics IndustryCorp.Contents : import advanced IC productionequipment and technology to enlarge theproduction scale, achieving an annualproduction capacity of 100 million items ofICs.

Qinghai's Projects Encouraging Foreign Investment

1. Agriculture, Forestry, Animal Husbandry, Fishery and Relevant Industries 1) Reclamation and development of waste land and hills,transformation of medium-to-low output land and forest; 2) Development of new varieties of good quality and high output agricultural crops such as cereals, oils, fruits, vegetables, flowers and forage grass;

Investment Projects in Qingdao High-Tech Industrial Park

—The project to produce one million lines in program-controlled exchanges by the Qingdao and AT&T Corporation, USA, undertook a study report at the end of 1993. The formal contract is expected to be signed in 1994. Construction of workshops is about to begin in the industrial park. —The Hewlett-Packard Co. of USA has decided to set up a joint venture in

Investment Projects in Dangshan——The National Ecological Agriculture County

Dangshan County is situated in the mostnortherly part of Anhui Province, acontiguous area of fourprovinces(Jiangsu, Shandong, Henan andAnhui) and six counties(Fengxian, Shanxian,Yucheng, Xiayi, Yongcheng and Xiaoxian).The County is named after Mount Mangdangand Mount Dangshan in the territory. TheLonghai Railway and National Highway 310pass through in parallel the central part of thecounty area, and the ancient Yellow Rivercourse lies in the northern part of the country,extending a hundred li(50 km). The totalland area of the county is 1192.94 sq km, ofwhich the cultivated land area is 904 thousandmu. 650 thousand mu of orchards cover thefields linking to the villages. It is major

SHAANXI'S KEY PROJECTS FOR FIXED ASSETS INVESTMENT DURING THE NINTH FIVE-YEAR PLAN

During the Eighth Five-Year Planperiod, Shaanxi Province intensifiedthe restructuring of investment andmacro-control in fixed assets investment byimplementing the policy of "limiting totalamount, readjusting structure, rectifying orderand improving efficiency". The wholeprovince realized RMB 110 billion in fixedassets investment, (including RMB 86.5 billionby state-owned units, RMB 14.23 billionthrough loans from the construction bank,making up 16.5 percent), RMB 67 billionmore than in the Seventh Five-Year Planperiod, with an annual increase of 26.5 percent.Thanks to the support, a group of medium-to-large and key projects have been put

Investment control in whole process of engineering construction project

in recent years, as the project of our country is increasing, investment growth, put forward new challenges to investment in construction projects. Research from the research status of investment in construction, the implementation process in accordance with the construction project, followed by analysis of the construction project investment the currently existing problems, and puts forward the implementation of the project the whole process as the main line, to scientific decision-making, rational design, bidding, construction control standard and completion of review strategies as the core.

The Impact of State Policies on Investment Project Management in Polish Industrial Construction Sector

In this paper,we discuss the influence of economic,environmental and legal policies of the state on the management of investment projects in the area of industrial construction in Poland.Our empirical study relies on conducting a questionnaire survey.A total of 158 Polish companies dealing with industrial construction took part in the survey.Then,the collected questionnaires were subjected to a thorough analysis and interpretation,with the use of a method called the exploratory factor analysis(EFA).Our research reveals the key factors influencing successful investment project management in the Polish industrial construction sector.These factors have been identified as the“availability of technology in a stable political system”,“stability of the economic and tax systems”,“stable social system policy,stability and transparency of the legal system”and a“well-targeted environmental policy”.A key conclusion that can be drawn from our study is that an efficient management of investment projects in the industrial construction industry is significantly influenced by properly shaped and stable economic,environmental,and legal policies of the state.

Beijing's Infrastructure and Tertiary Industry Contruction Projects Seeking Foreign Investment

No Projects Coopera- Total Invest- Investment Chinese Partners tion Mode ment Predicted Proportion KF3-01 Sewage Treatment Plant J.V. US$30 million Chinese 30% Beijing Economic with land as & Technological investment, 70% Development Zone for foreign partner SZ3-02 Beijing freight transport J.V. US$85 million Through Beijing Traffic Bureau hub of southwest highway negotiation SZ3-03 Beijing southeast international J.V. US$40 million 50% for each ditto container

LEAPS IN G.D.-H.K. COOPERATION FOLLOWING RETURN——Report on Guangdong High New Technology Projects Investment Symposium '97

Hongkong’s smooth return creates vast prospect and numerous opportunities for Guangdong-Hongkong economic cooperation. Over the past decade the cooperation has gone a long way, from non-governmental to governmental, from processing trade to high technology. Presently, it has become a highprofile activity which covers various areas.More than 20,000 representatives from 5,063 corporations participated the symposium. And 1,559 agreements, involving $ 13.159 billion, were signed. Of the investment, $8.7851 billion, or 66.8 per cent is from overseas investors. Of the agreements, 810 or 65 per cent, are high new

The Risk Evaluation of Agricultural High-tech Investment Project

The agricultural high-teeh investment project （AHIP） is eharaeterized by technology-intensive, high risk and great profit. This article analyzes essential factors of the risks of the agricultural high-tech investment projects and the traditional risk evaluation method of agrtcultral projects. We think that the applications of the sensitivity, analysis and probability ore defer. Therefore; this article introduces a structural model to evaluate the risks of the agricultural high-tech investment projects and the system of the concrete evaluation indexes.