Approaches to group decision making with incomplete information based on power geometric operators and triangular fuzzy AHP

Dong, Meirong; Li, Shouyi; Zhang, Hongying

doi:10.1016/j.eswa.2015.06.007

Cited by 67 publications

(33 citation statements)

References 39 publications

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“…Linguistic terms are often represented by fuzzy numbers such as triangular and trapezoidal fuzzy numbers [23,24].…”

Section: Fuzzy Linguistic Methodsmentioning

confidence: 99%

An Approach to the Match between Experts and Users in a Fuzzy Linguistic Environment

Yuan

2016

Information

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Knowledge management systems are widely used to manage the knowledge in organizations. Consulting experts is an effective way to utilize tacit knowledge. The paper aims to optimize the match between users and experts to improve the efficiency of tacit knowledge-sharing. Firstly, expertise, trust and feedback are defined to characterize the preference of users for experts. Meanwhile, factors including trust, relationship and knowledge distance are defined to characterize the preference of experts for users. Then, a new method for the measurement of satisfaction based on the principle of axiomatic design is proposed. Afterwards, in order to maximize the satisfaction of both experts and users, the optimization model is constructed and the optimal solution is shown in the matching results. The evaluation results show the approach is feasible and performs well. The approach provides new insights for research on tacit knowledge-sharing. It can be applied as a tool to match experts with users in the development of knowledge management systems. The fuzzy linguistic method facilitates the expression of opinions, and as a result, the users-system interaction is improved.

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“…Linguistic terms are often represented by fuzzy numbers such as triangular and trapezoidal fuzzy numbers [23,24].…”

Section: Fuzzy Linguistic Methodsmentioning

confidence: 99%

An Approach to the Match between Experts and Users in a Fuzzy Linguistic Environment

Yuan

2016

Information

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“…e increase of imprecision and complexity in realworld problems leads to the fact that decision-makers might be unable to express personal preferences with numerical values, so some theories dealing with imprecision are introduced into MCGDM problems, especially the theory of fuzzy sets developed by Zadeh [12]. Classical methods have been extended to solve uncertain MCGDM problems based on fuzzy sets as well as their generations, such as fuzzy TOPSIS [13], triangular fuzzy AHP [14], intuitionistic fuzzy VIKOR [15], fuzzy prospect theory [16], intuitionistic fuzzy ELECTRE [17], and Pythagorean fuzzy PROMETHEE [18].…”

Section: Introductionmentioning

confidence: 99%

“…As a classical MCDM method, the analytic hierarchy process (AHP) has been used widely for calculating the weights of criteria [7,8,14]. e AHP requires to compare the relative importance of each two criteria and obtain a comparison matrix, but due to the complexity of comparison procedures of the AHP, as well as the limitation of human cognition, the results obtained by the AHP always lack consistency in the pairwise comparison matrix; therefore, to improve the traditional AHP, Rezaei introduced a novel pairwise comparison idea and proposed the best-worst method (BWM) [24].…”

Section: Introductionmentioning

confidence: 99%

Rough-Number-Based Multiple-Criteria Group Decision-Making Method by Combining the BWM and Prospect Theory

Jia

Wang

2020

Mathematical Problems in Engineering

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Multicriteria group decision-making (MCGDM) problems have been a research hotspot in recent years, and prospect theory is introduced to cope with the risk and imprecision in the process of decision-making. To guarantee the effectiveness of information aggregation and extend the feasibility of prospect theory, this paper proposes a novel decision-making approach based on rough numbers and prospect theory to solve risky and uncertain MCGDM problems. Firstly by combining rough numbers and the bestworst method (BWM), we construct a linear programming model to calculate rough criteria weights, which are defined by lower limitations and upper limitations. en for the imprecision of value function and weighting function in prospect theory, we propose a novel method with the aid of combining rough numbers and prospect theory to handle the risk in decision-making problems. Finally, a numerical example involving investment is introduced to illustrate the application and validity of the proposed method.

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“…The reason for using TFNs in this study is that they are a suitable tool for formulating decision problems and modeling decision makers' vague and incomplete judgments. Moreover, it is easy and convenient for experts or decision makers to apply and calculate the criteria weight and normalization [32,[67][68][69][70]. The scales and related TFNs are shown in Table 2.…”

Section: Fuzzy Analytic Hierarchy Approachmentioning

confidence: 99%

A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques

Pipatprapa

Huang

2016

Sustainability

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Currently, the environment and sustainability are important topics for every industry. The food industry is particularly complicated in this regard because of the dynamic and complex character of food products and their production. This study uses structural equation modeling (SEM) and a fuzzy analytic hierarchy process (FAHP) to investigate which factors are suitable for evaluating the environmental performance of Thailand's food industry. A first-stage questionnaire survey was conducted with 178 managers in the food industry that obtained a certificate from the Department of Industrial Work of Thailand to synthesize the performance measurement model and the significance of the relationship between the indicators. A second-stage questionnaire measured 18 experts' priorities regarding the criteria and sub-factors involved in the different aspects and assessment items regarding environmental performance. SEM showed that quality management, market orientation, and innovation capability have a significantly positive effect on environmental performance. The FAHP showed that the experts were most concerned about quality management, followed by market orientation and innovation capability; the assessment items for quality policy, quality assurance, and customer orientation were of the most concern. The findings of this study can be referenced and support managerial decision making when monitoring environmental performance.

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Approaches to group decision making with incomplete information based on power geometric operators and triangular fuzzy AHP

Cited by 67 publications

References 39 publications

An Approach to the Match between Experts and Users in a Fuzzy Linguistic Environment

An Approach to the Match between Experts and Users in a Fuzzy Linguistic Environment

Rough-Number-Based Multiple-Criteria Group Decision-Making Method by Combining the BWM and Prospect Theory

A Novel Environmental Performance Evaluation of Thailand’s Food Industry Using Structural Equation Modeling and Fuzzy Analytic Hierarchy Techniques

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