Overview of the application of intelligent optimization algorithms in multi-attribute group decision making Overview of the application of intelligent optimization algorithms in multi-attribute group decision making

Intelligent Optimization Algorithms (IOAs) have great potential in solving multi-attribute group decision-making (MAGDM) problems. These problems have gradually become a research hotspot in the field of intelligent decision-making due to their advantages of high decision-making accuracy, versatility...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Jg. 55; H. 6; S. 409
Hauptverfasser:	Kang, Kaiying, Xie, Jialiang, Liu, Xiaohui, Wang, Honghui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computer Science Decision making Feasibility studies Feedback Fuzzy sets Keywords Linguistics Machines Manufacturing Mechanical Engineering Optimization Optimization algorithms Preferences Processes Semantics IOAs Overview Fuzzy theory MAGDM
ISSN:	0924-669X, 1573-7497
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Abstract	Intelligent Optimization Algorithms (IOAs) have great potential in solving multi-attribute group decision-making (MAGDM) problems. These problems have gradually become a research hotspot in the field of intelligent decision-making due to their advantages of high decision-making accuracy, versatility, and objective evaluation. This study provides a detailed analysis of the challenges in the MAGDM process and evaluates the feasibility of applying IOAs in this context. Specifically, we study the application of IOAs in the MAGDM process and discuss the advantages and limitations across various application scenarios, including the applications of granulating linguistic information, adjusting decision information, optimizing weights, and aggregating decision information. In addition, the development prospects and challenges of IOAs integration with MAGDM are summarized.
AbstractList	Intelligent Optimization Algorithms (IOAs) have great potential in solving multi-attribute group decision-making (MAGDM) problems. These problems have gradually become a research hotspot in the field of intelligent decision-making due to their advantages of high decision-making accuracy, versatility, and objective evaluation. This study provides a detailed analysis of the challenges in the MAGDM process and evaluates the feasibility of applying IOAs in this context. Specifically, we study the application of IOAs in the MAGDM process and discuss the advantages and limitations across various application scenarios, including the applications of granulating linguistic information, adjusting decision information, optimizing weights, and aggregating decision information. In addition, the development prospects and challenges of IOAs integration with MAGDM are summarized.
ArticleNumber	409
Author	Wang, Honghui Xie, Jialiang Liu, Xiaohui Kang, Kaiying
Author_xml	– sequence: 1 givenname: Kaiying surname: Kang fullname: Kang, Kaiying organization: College of Science, Jimei University – sequence: 2 givenname: Jialiang orcidid: 0000-0002-2329-2144 surname: Xie fullname: Xie, Jialiang email: xiejialiang@jmu.edu.cn organization: College of Science, Jimei University – sequence: 3 givenname: Xiaohui surname: Liu fullname: Liu, Xiaohui email: xhliu92@jmu.edu.cn organization: College of Science, Jimei University – sequence: 4 givenname: Honghui surname: Wang fullname: Wang, Honghui organization: School of Mathematics and Statistics, UNSW Sydney
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Snippet	Intelligent Optimization Algorithms (IOAs) have great potential in solving multi-attribute group decision-making (MAGDM) problems. These problems have...
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SubjectTerms	Algorithms Artificial Intelligence Computer Science Decision making Feasibility studies Feedback Fuzzy sets Keywords Linguistics Machines Manufacturing Mechanical Engineering Optimization Optimization algorithms Preferences Processes Semantics
Subtitle	Overview of the application of intelligent optimization algorithms in multi-attribute group decision making
Title	Overview of the application of intelligent optimization algorithms in multi-attribute group decision making
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