Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making

Zhao, Mengwei; Wei, Guiwu; Chen, Xudong; Wei, Yu

doi:10.1002/int.22552

Cited by 75 publications

(20 citation statements)

References 71 publications

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“…Those who dislike being blocked think that the efficiency loss is greater than the actual loss, which is in line with the cumulative prospect theory(CPT). The CPT [20,21] argues that decision-making choices under uncertainty depend on the difference between the outcome and the expectation rather than the outcome itself, i.e., people make decisions with a reference standard in mind and then measure how much the outcome of each decision differs from this reference standard, and they tend to prefer risk when faced with losses, which is more in line with psychological observations. Due to the existence of such psychological expectations of people, it is likely to take the action of accelerating the completion of work to reduce the loss of efficiency, but this also dramatically increases the collision risk, so the robot must pay attention to such psychological perception of people when making decisions.…”

Section:  mentioning

confidence: 94%

Research on Cobot Action Decision-Making Method Based on Intuitionistic Fuzzy Set and Game Theory

Liu

Wang

et al. 2022

IEEE Access

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The bounded rational properties of humans in human-robot collaboration (HRC) is a fundamental reason for collisions in proximity HRC. As HRC scenarios in manufacturing become increasingly popular, robot action decision-making needs to consider such properties of humans. In previous studies, humans are usually considered as rational agents whose behaviors are predictable and planned, but humans are susceptible to distractions caused by external disturbances, and different cognitive processes of the task can produce unpredictable behaviors. To better simulate human bounded rational behavior, based on an intuitionistic fuzzy (IF) multi-attribute decision algorithm, we propose a cobot action decision-making method that integrates human intention, safety, and efficiency, to produce a human-like decision. The proposed decision-making method integrates the bounded rational behavior of humans and establishes the IF set of human action intention for efficiency and comfort using cumulative prospect theory(CPT) and IF set. The proposed method lights on the human decision-making mechanism for proximity HRC actions. We use IF set to calculate the score and accuracy values of two Nash equilibria of a static chicken game, which can predict human action intentions with collision risk and provide optimal action decisions for the robot simultaneously. We generated 10,000 sets of data using the Monte Carlo method and validated the effectiveness of our proposed method by comparing it with MDP and POMDP methods. The results showed that the decision-making method could effectively perform the task of making action decisions for the robot. Simulation experiments and Turing test results show that our proposed method can predict a human's subjective action decision intention in a situation with potential collision risk with 87.53% accuracy. At the same time, the experimental participants believe that the robot can get 4.83 out of 5 satisfaction points for an action decision.

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Section:  mentioning

confidence: 94%

Research on Cobot Action Decision-Making Method Based on Intuitionistic Fuzzy Set and Game Theory

Liu

Wang

et al. 2022

IEEE Access

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“…The evaluation results of the MABAC are highly robust, but the evaluation results are less affected by the criteria weight. Therefore, the impact of the importance of criteria is ignored to a certain extent [47,48]. The MARCOS considers both ideal solutions and anti-ideal solutions and calculates the utility functions of alternatives to rank them.…”

Section: The Framework and Applicability Of Proposed Hybrid Mcdm Modelmentioning

confidence: 99%

A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

2021

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Considering the goals of carbon peaking and carbon neutrality, along with their related policies, pumped storage power stations are set to develop quickly in China. The comprehensive performance of pumped storage power stations must urgently be evaluated, which can help investors in decision making and provide a reference for policymakers. In this paper, a hybrid novel fuzzy multicriteria decision-making (MCDM) method combining the fuzzy best worst method (BWM) and fuzzy TOPSIS was proposed for the comprehensive performance evaluation of pumped storage power stations in China. The fuzzy BWM was utilized to determine the criteria weights describing the comprehensive performance of pumped storage power stations, while the fuzzy TOPSIS was used to rank the comprehensive performance of pumped storage power stations. The index system for the comprehensive performance evaluation of pumped storage power stations in China incorporated economic, social, and environmental aspects. The comprehensive performance of four pumped storage power stations in China was empirically evaluated using the proposed hybrid novel fuzzy MCDM method, and the results indicate that pumped storage power station PSPS2 exhibited the best comprehensive performance, followed by pumped storage power stations PSPS1 and PSPS4, whereas pumped storage power station PSPS3 had the worst comprehensive performance. A sensitivity analysis and comparative analysis were also conducted. The results indicate that the proposed hybrid novel fuzzy MCDM method, combining the fuzzy BWM and fuzzy TOPSIS for comprehensive performance evaluation of pumped storage power stations, is robust and effective.

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“…It is extremely difficult to eliminate the impact of psychological characteristics of DMs in the process of GEDM under a major epidemic. At present, several behavioral theories have been incorporated into MCGDM, such as prospect theory [ 26 ], cumulative prospect theory (CPT) [ 27 – 29 ], the interactive and multiple attribute decision making (TODIM) [ 24 , 30 – 32 ], and regret theory [ 33 , 34 ].…”

Section: Introductionmentioning

confidence: 99%

A Group Emergency Decision-Making Method for Epidemic Prevention and Control Based on Probabilistic Hesitant Fuzzy Prospect Set Considering Quality of Information

Mao

et al. 2022

Int J Comput Intell Syst

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Epidemics can bring huge impacts to economic operation and human health, a practical and effective emergency decision-making (EDM) method is of great significance to reduce all kinds of losses and slow the spread of epidemics. In the process of EDM, decision information is usually uncertain and vague, and the psychological behaviors and various perspectives of decision makers (DMs) should be considered. Hence, this paper develops a group emergency decision-making (GEDM) method under risk based on the probabilistic hesitant fuzzy set (PHFS) and cumulative prospect theory (CPT), in which probabilistic hesitant fuzzy prospect set (PHFPS) that combines PHFS and CPT is developed to portray the vagueness of decision information and psychologies of DMs. Moreover, experts’ creditability in evaluation criteria is generally different because of the differences of their own knowledge structures, practical experience, individual preference and so on. A formula is proposed to measure the quality of decision information provided by experts for revising the expert weights. In addition, the evaluation criteria supporting the GEDM of epidemics are given. Finally, the proposed method is demonstrated by an empirical case study of COVID-19, and the comparison analysis based on the rank-biased overlap model and the sensitivity analysis are conducted to the illustrate the validity of the proposed method.

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Intuitionistic fuzzy MABAC method based on cumulative prospect theory for multiple attribute group decision making

Cited by 75 publications

References 71 publications

Research on Cobot Action Decision-Making Method Based on Intuitionistic Fuzzy Set and Game Theory

Research on Cobot Action Decision-Making Method Based on Intuitionistic Fuzzy Set and Game Theory

A Hybrid Novel Fuzzy MCDM Method for Comprehensive Performance Evaluation of Pumped Storage Power Station in China

A Group Emergency Decision-Making Method for Epidemic Prevention and Control Based on Probabilistic Hesitant Fuzzy Prospect Set Considering Quality of Information

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