Many decision problems in our daily lives or professional settings involve conflicting and incommensurable multiple criteria. Multiple Criteria Decision Making/Aid (MCDM/A) methods can be applied to support decision makers (DMs) in such decision processes. Methods of MCDM/A provide a wide variety of methodological tools that are oriented towards the support of DMs in facing real-world decision problems.

Applications in a variety of areas may be done by building decision models representing both the preferences of decision makers and the various characteristics of the problems at hand, which may include the aggregation of DMs in group decision making (GDM). These built decision models are the basis for applications in a diversity of areas supporting DMs for handling those problems. GDM can include MCDM/A also in a Multiple Criteria Group Decisions (MCGDM).

The aim of this Special Issue is to promote and disseminate research and applications among academics and other professionals interested in the theory, methodologies, and applications of MCDM/A. We welcome high quality papers with significant impact on the practice of business, management, and policy making utilizing MCDM/A. Authors are welcome to submit papers that consider mathematical models for and applications of multicriteria and multiobjective methods. Final applications could be related to, or consider, for example, energy, environment, climate, sustainability, risk management, reliability, maintenance, project management, production management, supply chain management, logistic, location, transportation, and healthcare.

Potential topics include but are not limited to the following:

• Preference modeling and risk and uncertainty modeling
• Behavioral issues for building MCDM/A and GDM models
• GDM and negotiations models
• Building of Multiple Criteria Group Decisions (MCGDM) models
• Building mathematical models with multiattribute utility or value theory (MAUT/MAVT)
• Building mathematical models for MCDM/A with partial information
• Building mathematical models for advanced applications with MAVT methods (including among others: SMARTS, MACBETH, AHP, ANP, CROC, FITradeoff)
• Building mathematical models based on multiobjective optimization and multiobjective combinatorial optimization
• Use of evolutionary algorithms in MCDM/A
• New areas of MCDM/A in applied outranking methods
• Building mathematical models with fuzzy MCDM/A