2022
DOI: 10.1016/j.ins.2021.10.044
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Interval type-2 fuzzy programming method for risky multicriteria decision-making with heterogeneous relationship

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Cited by 36 publications
(7 citation statements)
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“…For the supply and demand subjects, there will be gains and losses in matching the distribution order, which is determined by psychological perception. The psychological perception was closely related to the satisfaction degree of both subjects in the final matching scheme [ 40 ]. Given this, the study constructs the expression φ ( x ) of disappointment and delight according to the disappointment theory.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For the supply and demand subjects, there will be gains and losses in matching the distribution order, which is determined by psychological perception. The psychological perception was closely related to the satisfaction degree of both subjects in the final matching scheme [ 40 ]. Given this, the study constructs the expression φ ( x ) of disappointment and delight according to the disappointment theory.…”
Section: Methodsmentioning
confidence: 99%
“…In order to solve the multi-objective optimization model and maximize the overall matching degree, the linear weighting method is used to weigh Eqs (39) and (40). Where w 1 and w 2 represent the weights of Z 1 and Z 2 respectively, if 0 � w 1 , w 2 � 1 and w 1 + w 2 = 1 are satisfied.…”
Section: Plos Onementioning
confidence: 99%
“…(2014) constructed a mathematical framework for multi-attribute group decision-making using multi-granularity languages, which dealt with the evaluation opinions of different experts without prior standardization. Considering heterogeneous relationships among criteria and the DMs' bounded rational behaviour, Tang et al . (2022a, b) proposed a new IT2F programming method to handle risky MCDM problems.…”
Section: Literature Reviewmentioning
confidence: 99%
“…(2016) proposed a new method to determine the attribute weight in linguistic multi-attribute group decision-making based on linguistic operator theory and entropy weight: linguistic entropy weight. Based on the BWM and Shapley value, Tang et al . (2022a, b) designed two linear mathematical programming models for optimal fuzzy measures on the attribute set under q-rung orthopair fuzzy environment, which can objectively obtain the attribute weight.…”
Section: Literature Reviewmentioning
confidence: 99%
“…e PWHA operator could take into account the objective interrelationships between the attributes and the effects caused by unreasonable data [22,24]. Here, we propose the improved PWHA operator applied to real numbers.…”
Section: E Static Evaluation Values Determined By the Improved Pwha O...mentioning
confidence: 99%