The problem of multiple attribute decision making under fuzzy linguistic environments, in which decision makers can only provide their preferences （attribute values）in the form of trapezoid fuzzy linguistic variable...The problem of multiple attribute decision making under fuzzy linguistic environments, in which decision makers can only provide their preferences （attribute values）in the form of trapezoid fuzzy linguistic variables（TFLV）, is studied. The formula of the degree of possibility between two TFLVs is defined, and some of its characteristics are studied. Based on the degree of possibility of fuzzy linguistic variables, an approach to ranking the decision alternatives in multiple attribute decision making with TFLV is developed. The trapezoid fuzzy linguistic weighted averaging （TFLWA） operator method is utilized to aggregate the decision information, and then all the alternatives are ranked by comparing the degree of possibility of TFLV. The method can carry out linguistic computation processes easily without loss of linguistic information, and thus makes the decision results reasonable and effective. Finally, the implementation process of the proposed method is illustrated and analyzed by a practical example.展开更多
A decoding method complemented by Maximum Likelihood (ML) detection for V-BLAST (Verti- cal Bell Labs Layered Space-Time) system is presented. The ranked layers are divided into several groups. ML decoding is performe...A decoding method complemented by Maximum Likelihood (ML) detection for V-BLAST (Verti- cal Bell Labs Layered Space-Time) system is presented. The ranked layers are divided into several groups. ML decoding is performed jointly for the layers within the same group while the Decision Feedback Equalization (DFE) is performed for groups. Based on the assumption of QPSK modulation and the quasi-static flat fading channel, simulations are made to testify the performance of the proposed algorithm. The results show that the algorithm outperforms the original V-BLAST detection dramatically in Symbol Error Probability (SEP) per- formance. Specifically, Signal-to-Noise Ratio (SNR) improvement of 3.4dB is obtained for SEP of 10?2 (4×4 case), with a reasonable complexity maintained.展开更多
Firm level empirical research on the impact of financing decisions on small business performance is scarce in the Australian context. This study adopts an instrument variable （IV） approach to analyze the impact of f...Firm level empirical research on the impact of financing decisions on small business performance is scarce in the Australian context. This study adopts an instrument variable （IV） approach to analyze the impact of financing decisions, in particular, equity or debt are obtained, on the performance of small businesses by using the panel data from Australian Bureau of Statistics （ABS） Business Longitudinal Database （BLD） 2004-2005, 2005-2006, and 2006-2007. Performance variables, i.e., sales and expenditure, are used as dependent variables. Equity and debt obtained are used as independent variables （or known as treatments）. IV includes size of the business, age of the business, number of locations, and industry division etc.. The results from IV modeling outperformed those obtained from OLS （Ordinary Least Squares）. Findings include： （1） financing has significantly positive impacts on the performance of small businesses in Australia; （2） equity and debt financing are used as alternatives, comparatively, equity financing is preferred; （3） capital purchases are largely funded by debt financing, while non-capital purchases and salary expenses are funded by equity financing; and （4） equity financing is more often used by firms with increasing capital purchases and declining non-capital purchases, while debt financing is used by firms with the opposite trends. The paper concludes with a discussion of the limitations of this research and future research＇s directions.展开更多
Based on safety management appraisal theory, the decision system was divided into 5 function menu module, including system control module, mining coal and the tunneling working surface security evaluation module, the ...Based on safety management appraisal theory, the decision system was divided into 5 function menu module, including system control module, mining coal and the tunneling working surface security evaluation module, the entire ore safety production condition appraisal module, the safety management level appraisal module of main production work area, the withdrawal system module and so on. The system operates through the constitutive procedure, outputs the main operation results by graph and form, and realizes the main function of safety evaluation.展开更多
To improve the detection performance of sensing users for primary users in the cognitive radio, an optimal cooperative detection algorithm for many sensing users is proposed. In this paper, optimal decision thresholds...To improve the detection performance of sensing users for primary users in the cognitive radio, an optimal cooperative detection algorithm for many sensing users is proposed. In this paper, optimal decision thresholds of each sensing user are discussed. Theoretical analysis and simulation results indicate that the detection probability of optimal decision threshold rules is better than that of determined threshold rules when the false alarm of the fusion center is constant. The proposed optimal cooperative detection algorithm improves the detection performance of primary users as the attendees grow. The 2 dB gain of detection probability can be obtained when a new sensing user joins in, and there is a 17 dB improvement when the accumulation number increases from 1 to 50.展开更多
Optimal allocation of financial resources is a critical factor in investment decisions. A proper action in this regard requires the existence of appropriate bases and investing tools and techniques in the capital mark...Optimal allocation of financial resources is a critical factor in investment decisions. A proper action in this regard requires the existence of appropriate bases and investing tools and techniques in the capital market. One of these effective methods which is considered as the basis of new investment strategies, in addition to multiple unique features, is called index tracking. By considering the undeniable role of this approach in the future of capital markets, its investigation and implementation have been considered in this research and so the problem of optimal Tehran Exchange Dividend Price Index （TEDPIX） tracker fund selection is studied using a hybrid approach of genetic algorithm and quadratic programming. Neural network was applied to simulate unavailable data. Results illustrate the exactness and acceptable performance of the formed portfolios in several iterations such that achieving similar and even better performance compared to the index is a distinctive characteristic of the proposed algorithm.展开更多
In game theoretic context, it is assumed that the decision maker has the extraordinary skills of reasoning and calculation. This assumption is called ＂perfect rationality＂. A player with perfect rationality can solv...In game theoretic context, it is assumed that the decision maker has the extraordinary skills of reasoning and calculation. This assumption is called ＂perfect rationality＂. A player with perfect rationality can solve complex problems without making mistakes. However, recently, many studies have restricted this rationality or the structure of game. These restrictions are called ＂bounded rationality.＂ The authors also focus on bounded rationality, but with learning dynamics and complex networks. A complex network covers a wide area. Currently, a wide range of studies have not only investigated network formation and the characteristics of a formed network, but also analyzed situations where a network is already provided. In addition, in an analysis using game theory, a prisoners＇ dilemma type game was used to investigate how a change in the network structure would affect the players＇ relationships Therefore, our model employs decision makers with learning dynamics and describes the interaction of decision makers as a network. The purpose of this study is to examine the behavior of the decision maker with learning dynamics and the formation of networks by the interaction of decision makers through an agent-based simulation.展开更多
基金2008 Soft Science Program of Jiangsu Science and Technology Department (No.BR2008098)
文摘The problem of multiple attribute decision making under fuzzy linguistic environments, in which decision makers can only provide their preferences （attribute values）in the form of trapezoid fuzzy linguistic variables（TFLV）, is studied. The formula of the degree of possibility between two TFLVs is defined, and some of its characteristics are studied. Based on the degree of possibility of fuzzy linguistic variables, an approach to ranking the decision alternatives in multiple attribute decision making with TFLV is developed. The trapezoid fuzzy linguistic weighted averaging （TFLWA） operator method is utilized to aggregate the decision information, and then all the alternatives are ranked by comparing the degree of possibility of TFLV. The method can carry out linguistic computation processes easily without loss of linguistic information, and thus makes the decision results reasonable and effective. Finally, the implementation process of the proposed method is illustrated and analyzed by a practical example.
基金Supported by the National Natural Science Foundation of China (No.60172029).
文摘A decoding method complemented by Maximum Likelihood (ML) detection for V-BLAST (Verti- cal Bell Labs Layered Space-Time) system is presented. The ranked layers are divided into several groups. ML decoding is performed jointly for the layers within the same group while the Decision Feedback Equalization (DFE) is performed for groups. Based on the assumption of QPSK modulation and the quasi-static flat fading channel, simulations are made to testify the performance of the proposed algorithm. The results show that the algorithm outperforms the original V-BLAST detection dramatically in Symbol Error Probability (SEP) per- formance. Specifically, Signal-to-Noise Ratio (SNR) improvement of 3.4dB is obtained for SEP of 10?2 (4×4 case), with a reasonable complexity maintained.
文摘Firm level empirical research on the impact of financing decisions on small business performance is scarce in the Australian context. This study adopts an instrument variable （IV） approach to analyze the impact of financing decisions, in particular, equity or debt are obtained, on the performance of small businesses by using the panel data from Australian Bureau of Statistics （ABS） Business Longitudinal Database （BLD） 2004-2005, 2005-2006, and 2006-2007. Performance variables, i.e., sales and expenditure, are used as dependent variables. Equity and debt obtained are used as independent variables （or known as treatments）. IV includes size of the business, age of the business, number of locations, and industry division etc.. The results from IV modeling outperformed those obtained from OLS （Ordinary Least Squares）. Findings include： （1） financing has significantly positive impacts on the performance of small businesses in Australia; （2） equity and debt financing are used as alternatives, comparatively, equity financing is preferred; （3） capital purchases are largely funded by debt financing, while non-capital purchases and salary expenses are funded by equity financing; and （4） equity financing is more often used by firms with increasing capital purchases and declining non-capital purchases, while debt financing is used by firms with the opposite trends. The paper concludes with a discussion of the limitations of this research and future research＇s directions.
文摘Based on safety management appraisal theory, the decision system was divided into 5 function menu module, including system control module, mining coal and the tunneling working surface security evaluation module, the entire ore safety production condition appraisal module, the safety management level appraisal module of main production work area, the withdrawal system module and so on. The system operates through the constitutive procedure, outputs the main operation results by graph and form, and realizes the main function of safety evaluation.
基金Sponsored by the National Basic Research Program of China(973 Program)(Grant No.2007CB310601)
文摘To improve the detection performance of sensing users for primary users in the cognitive radio, an optimal cooperative detection algorithm for many sensing users is proposed. In this paper, optimal decision thresholds of each sensing user are discussed. Theoretical analysis and simulation results indicate that the detection probability of optimal decision threshold rules is better than that of determined threshold rules when the false alarm of the fusion center is constant. The proposed optimal cooperative detection algorithm improves the detection performance of primary users as the attendees grow. The 2 dB gain of detection probability can be obtained when a new sensing user joins in, and there is a 17 dB improvement when the accumulation number increases from 1 to 50.
文摘Optimal allocation of financial resources is a critical factor in investment decisions. A proper action in this regard requires the existence of appropriate bases and investing tools and techniques in the capital market. One of these effective methods which is considered as the basis of new investment strategies, in addition to multiple unique features, is called index tracking. By considering the undeniable role of this approach in the future of capital markets, its investigation and implementation have been considered in this research and so the problem of optimal Tehran Exchange Dividend Price Index （TEDPIX） tracker fund selection is studied using a hybrid approach of genetic algorithm and quadratic programming. Neural network was applied to simulate unavailable data. Results illustrate the exactness and acceptable performance of the formed portfolios in several iterations such that achieving similar and even better performance compared to the index is a distinctive characteristic of the proposed algorithm.
文摘In game theoretic context, it is assumed that the decision maker has the extraordinary skills of reasoning and calculation. This assumption is called ＂perfect rationality＂. A player with perfect rationality can solve complex problems without making mistakes. However, recently, many studies have restricted this rationality or the structure of game. These restrictions are called ＂bounded rationality.＂ The authors also focus on bounded rationality, but with learning dynamics and complex networks. A complex network covers a wide area. Currently, a wide range of studies have not only investigated network formation and the characteristics of a formed network, but also analyzed situations where a network is already provided. In addition, in an analysis using game theory, a prisoners＇ dilemma type game was used to investigate how a change in the network structure would affect the players＇ relationships Therefore, our model employs decision makers with learning dynamics and describes the interaction of decision makers as a network. The purpose of this study is to examine the behavior of the decision maker with learning dynamics and the formation of networks by the interaction of decision makers through an agent-based simulation.
