An interval noncooperative-cooperative biform game model based on weighted equal contribution division values

Liang, Kairong; Li, Dengfeng; Li, Kevin; Liu, Jia-Cai

doi:10.1016/j.ins.2022.11.016

Cited by 8 publications

(1 citation statement)

References 26 publications

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“…Li (2010) and Li and Nan (2011) presented research on the technique for order preference by similarity to idea solution (TOPSIS). Other research was conducted on areas such as the relative ratio (RR) method (Li, 2009), fuzzy linear programming technique for multidimensional analysis of preference (FLINMAP) method (Li & Sun, 2007), linear programming (LP) (Yu et al, 2019), nonlinear programming approach (Li, 2011;Li & Liu, 2015), and game theory (Ye & Li, 2021;Liang et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

An Improved TOPSIS Method Based on a New Distance Measure and Its Application to the House Selection Problem

Wang,

Chen

2023

International Journal of Fuzzy System Applications

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It is difficult to choose an appropriate house for homebuyers. This is due to the difficulty of evaluating the multitude of factors, such as price, location, size, and so on. In order to help homebuyers in choosing an appropriate house, a method integrating the interval-valued Pythagorean FAHP and FTOPSIS is proposed. In the proposed approach, the evaluation criteria were determined by the experts, and the linguistic variables of interval-valued Pythagorean fuzzy numbers were used in the evaluations of the homebuyers and experts. A new distance between two IVPFNs is proposed. The weights of the evaluation criteria were determined by the interval-valued Pythagorean FAHP method by the homebuyers, and house selections were evaluated by interval-valued Pythagorean FTOPSIS method taking into account the new distance. Finally, a case study was executed to verify the feasibility of the proposed approach. The case study results reveal that the weights of criteria obtained by FAHP are not the same according to opinions of the different homebuyers.

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