Multiple Criteria Decision Making Algorithms in Engineering and Management

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3156

Special Issue Editors


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Guest Editor
Research Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Interests: operations research; optimization and decision analysis; multicriteria decision making; multiattribute decision making (MADM); decision support systems; civil engineering; energy; sustainable development; fuzzy sets theory; fuzzy multicriteria decision making; sustainability; management; game theory and economical computing knowledge management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Laboratory of Operations Research, Institute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania
Interests: operations research; optimization and decision analysis; multicriteria decision making; MCDM; multiple-criteria optimization; multiattribute decision making (MADM); multiobjective optimization (MODM); approximations; mathematics for decision making; decision support systems; evaluation sustainable development; civil engineering; management; knowledge management; game theory and economical computing; finance engineering; algorithms and software engineering; energy; fuzzy set theory; negotiations; the consensus in groups
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Interests: multi-criteria decision-making (MCDM); multiattribute decision making (MADM); operations research; decision support systems; multiple-criteria optimization in construction technology and management; decision making under uncertainty; fuzzy sets theory; civil engineering; sustainable development; sustainable construction; investments; knowledge management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Many real-world problems are multi-criteria problems that naturally involve several competing objectives that are required to be optimized simultaneously, while respecting some constraints or selecting among feasible discrete alternatives. Multiple criteria decision making (MCDM) is an effective systematic and quantitative way to deal with issues in the presence of several alternatives and several usually different criteria. Decision makers over the past few decades have successfully used MCDM approaches to solve problems in a variety of fields, such as engineering, management, business, economic, transport and logistic, and more. Later, fuzzy set theory laid the foundations for modeling of uncertainty, vagueness, and imprecision. MCDM has considerably expanded beyond classical and formal methodologies and has also involved intuitive and informal processes. Therefore, in addition to conventional MCDM methods, this Special Issue also welcomes their integration with uncertainty theory, such as fuzzy sets, rough sets, neutrosophic sets, etc. And for making decisions on very complex problems, appropriate and reliable solution algorithms and decision support systems are required. Therefore, we invite authors to submit their theoretical or experimental research presenting engineering, managerial and other problems’ solving algorithms dealing with multiple criteria decision making both in certain and uncertain environment.

Prof. Dr. Edmundas Kazimieras Zavadskas
Prof. Dr. Zenonas Turskis
Prof. Dr. Jurgita Antuchevičienė
Guest Editors

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Keywords

  • multiple-criteria decision making (mcdm): theories, methodologies, and applications
  • multiple-criteria problem solution algorithms with certain and vague determined data
  • outranking methods
  • multiattribute utility theory
  • analytic hierarchy process/analytic network process
  • interval-valued fuzzy sets
  • intuitionistic fuzzy sets
  • neutrosophic sets
  • rough sets
  • grey systems
  • neural-network-based optimization
  • conflict resolution
  • data mining tools
  • hybrid problem solution algorithms
  • group decision making
  • mathematical programming in mcdm
  • multiobjective programming and goal programming
  • tools for multicriteria decisions
  • information technologies in decision making
  • decision-support systems
  • computer-aided problem solutions
  • innovative applications of mcdm methods

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Published Papers (1 paper)

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15 pages, 346 KiB  
Article
A Mathematical Model and Two Fuzzy Approaches Based on Credibility and Expected Interval for Project Cost-Quality-Risk Trade-Off Problem in Time-Constrained Conditions
by Mohammad Hossein Haghighi and Seyed Meysam Mousavi
Algorithms 2022, 15(7), 226; https://doi.org/10.3390/a15070226 - 28 Jun 2022
Cited by 4 | Viewed by 2078
Abstract
To successfully finalize projects and attain their determined purposes, it is indispensable to control all success criteria of a project. The time–cost trade-off (TCT) is known as a prevalent and efficient approach applied when the planned finish date of a project is not [...] Read more.
To successfully finalize projects and attain their determined purposes, it is indispensable to control all success criteria of a project. The time–cost trade-off (TCT) is known as a prevalent and efficient approach applied when the planned finish date of a project is not admitted by stakeholders, and consequently, the project duration must be decreased. This paper proposes a new mathematical model under fuzzy uncertainty to deal with the project cost–risk–quality trade-off problem (CRQT) under time constraints. Because of the unique nature of projects and their uncertain circumstances, applying crisp values for some project parameters does not seem appropriate. Hence, this paper employs fuzzy sets to resolve these weaknesses. In this study, two approaches are presented to handle proposed fuzzy multi-objective mathematical model. First, fuzzy credibility theory and then goal attainment method are used. Secondly, the model is solved by a fuzzy method based on expected interval and value and augmented ɛ-constraint method. A project from the literature review is adopted and solved by the presented methodology. The results demonstrate the accuracy and efficiency of the two proposed approaches for the introduced practical problem. Full article
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