Decision-Making Modeling and Optimization
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 4795
Special Issue Editors
Interests: large-scale group decision making; consensus; risk management; supply chain management
Interests: decision theory and methods; information management; large-scale group decision-making and consensus; big data decision; social network analysis; tourism management
Interests: complex large group decision-making theory and methods; big data intelligent decision-making methods; information systems and decision support systems; emergency management and decision-making; risk analysis and management
Special Issue Information
Dear Colleagues,
Axioms aims to promote research and applications of mathematics, mathematical logic, and mathematical physics. Decision-making modeling and optimization are the use of methodological models from fields such as mathematics and operations research to solve decision problems in economics, management, engineering, and other fields. In the past several decades, numerous decision-making methods have been proposed, such as AHP, ANP, TOPSIS, VIKOR, MULTIMOORA, DEMATEL, PROMETHEE, ELECTRE, etc. These classical methods have been extended to different decision contexts, such as (1) in terms of information expression forms, including interval numbers, fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, linguistic terms, hesitant fuzzy linguistic terms, probabilistic linguistic term sets, etc.; (2) in terms of the decision-making environment, such as social network decision making, large-scale group decision making, and risk decision making; (3) considering decision-makers’ behaviors, there are prospect-theory-based decision making, regret-theory-based decision making, non-cooperative game-based decision making, etc.; (4) in practical applications, such as emergency decision making, investment evaluation, conflict management, etc.
This Special Issue seeks to bring together the up-to-date developments in decision modeling and optimization in terms of methodology, algorithms, and applications. Any theoretical, empirical, and experimental work related to decision making and optimization, as well as related applications in economics, management, and technology, is welcome. Mathematical approaches to the challenges of decision modeling and optimization, as well as new techniques for disruptive improvements to traditional paradigms, are especially welcome. We invite researchers and experts worldwide to submit high-quality original research papers and critical survey articles. Topics to be discussed in this Special Issue include (but are not limited to) the following:
- Decision making with complex forms of information expression, such as probabilities, fuzzy sets, rough sets, linguistic terms, preference relations, random variables, etc.;
- Decision making with multi-objective optimization;
- Decision making under social networks;
- Decision making involving large-scale decision-makers;
- Collaborative decision making and consensus decision making;
- Decision support systems and business analytics;
- Decision-making models with game theory;
- Decision making considering risk attributes;
- Decision making for practical applications in economics, management, engineering, healthcare, etc.;
- Decision making related to the latest information technologies, such as big data, artificial intelligence, cloud computing, etc.
Dr. Zhijiao Du
Dr. Sumin Yu
Prof. Dr. Xuanhua Xu
Guest Editors
Manuscript Submission Information
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Keywords
- decision making with complex forms of information expression, such as probabilities, fuzzy sets, rough sets, linguistic terms, preference relations, random variables, etc.
- decision making with multi-objective optimization
- decision making under social networks
- decision making involving large-scale decision-makers
- collaborative decision making and consensus decision making
- decision support systems and business analytics
- decision-making models with game theory
- decision making considering risk attributes
- decision making for practical applications in economics, management, engineering, healthcare, etc.
- decision making related to the latest information technologies, such as big data, artificial intelligence, cloud computing, etc.
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