A Consensus Reaching Process for Product Design Decision-Making by Integrating Intuitionistic Fuzzy Sets and Trust Network DOI Creative Commons
Yanpu Yang, Kai Zhang,

Zijing Lei

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(11), P. 494 - 494

Published: Nov. 15, 2024

In the process of product design decision-making (PDDM), decision-makers (DMs) conventionally engage in discussions to evaluate alternatives. Achieving a consistent result is essential for selecting optimal schemes, as it helps eliminate preference conflicts. However, uncertainties and ambiguities, along with interrelationships among DMs, make challenging attain an acceptable consensus level PDDM. To address this issue, intuitionistic fuzzy sets (IFSs) are introduced capture DMs’ preferences regarding trust network integrated analyze interrelationships. A double hierarchy linguistic term set (LTS) employed assess relationships, incomplete supplemented by leveraging transitivity principle, thereby determining weights. By establishing measurement model, DMs contributing less identified, optimization achieved through modification or calibration their relationships. reaching (CRP) PDDM proposed, technique order similarity ideal solution (TOPSIS) utilized rank schemes after reached. case study involving specific household disinfection machine illustrates efficacy our method achieving integrating vague data.

Language: Английский

A Consensus Reaching Process for Product Design Decision-Making by Integrating Intuitionistic Fuzzy Sets and Trust Network DOI Creative Commons
Yanpu Yang, Kai Zhang,

Zijing Lei

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(11), P. 494 - 494

Published: Nov. 15, 2024

In the process of product design decision-making (PDDM), decision-makers (DMs) conventionally engage in discussions to evaluate alternatives. Achieving a consistent result is essential for selecting optimal schemes, as it helps eliminate preference conflicts. However, uncertainties and ambiguities, along with interrelationships among DMs, make challenging attain an acceptable consensus level PDDM. To address this issue, intuitionistic fuzzy sets (IFSs) are introduced capture DMs’ preferences regarding trust network integrated analyze interrelationships. A double hierarchy linguistic term set (LTS) employed assess relationships, incomplete supplemented by leveraging transitivity principle, thereby determining weights. By establishing measurement model, DMs contributing less identified, optimization achieved through modification or calibration their relationships. reaching (CRP) PDDM proposed, technique order similarity ideal solution (TOPSIS) utilized rank schemes after reached. case study involving specific household disinfection machine illustrates efficacy our method achieving integrating vague data.

Language: Английский

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