Special Issue "Multi-Criteria Decision Aid methods in fuzzy decision problems"
A special issue of Symmetry (ISSN 2073-8994).
Deadline for manuscript submissions: closed (31 August 2019).
Interests: multi-criteria decision analysis/making; MCDA methods; sustainable management; sustainability assessment; fuzzy sets
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Interests: : information diffusion; decision support systems; sustainability; human-computer interaction; online marketing
Special Issues and Collections in MDPI journals
Special Issue in Symmetry: Multi-Criteria Decision Aid methods in fuzzy decision problems – part II
The notion of symmetry is of particular importance in Multi-Criteria Decision Aid (MCDA). Symmetry, asymmetry and antisymmetry are basic characteristics of binary relations used when modelling the decision maker’s preferences. Moreover, the notion of symmetry appeared in many articles about the fuzzy set theory which is employed in the MCDA methods.
The fuzzy set theory allows capturing uncertainty, imprecision, inaccurate definition of a decision problem and, as a consequence, fuzzing the problem. Fuzzing may include input data representing alternatives, weights of criteria or the decision maker ’s preferences. The first type of fuzzing takes place when the decision maker is not able to precisely evaluate the weights of criteria or the consequences of individual alternatives. The fuzzy MCDA methods deal with this kind of fuzzing. Next, the fuzzing of the decision maker ’s preferences take place when he or she cannot determine how much (if any) one alternative is better than another one with regard to a defined criterion. The decision maker ’s fuzzy preferences are used in some outranking MCDA methods. Furthermore, the fuzzy outranking methods deal with both types of fuzzing.
This Special Issue invites contributions dealing with:
- the preparation and development of MCDA methods capable of capturing the fuzziness (uncertainty, imprecision and inaccurate definition) of the decision problem,
- the research into the application of MCDA methods in fuzzy decision problems.
Survey and theoretical articles, as well as application papers, are welcome.
1) Perny, P.; Roy, B. The Use of Fuzzy Outranking Relations in Preference Modelling. Fuzzy Sets and Systems 1992, 49, 33-53.
Wang, C.; Nguyen, V.T.; Duong, D.H.; Do, H.T. A Hybrid Fuzzy Analytic Network Process (FANP) and Data Envelopment Analysis (DEA) Approach for Supplier Evaluation and Selection in the Rice Supply Chain. Symmetry 2018, 10, 221.
2) Ziemba, P. NEAT F-PROMETHEE – a New Fuzzy Multiple Criteria Decision Making Method Based on the Adjustment of Mapping Trapezoidal Fuzzy Numbers. Expert Systems with Applications 2018, 110, 363-380.
3) Mardani, A.; Jusoh, A.; Zavadskas, E.K. Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014. Expert Systems with Applications 2015, 42(8), 4126-4148.
Dr. Paweł Ziemba
Prof. Dr. Jarosław Jankowski
Manuscript Submission Information
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- Fuzzy (uncertain, imprecise, ill-determined) decision problems
- Multi-criteria decision aid
- Fuzzy MCDA methods
- Fuzzy AHP/ANP
- Fuzzy TOPSIS
- Fuzzy DEMATEL
- outranking MCDA methods
- (Fuzzy) PROMETHEE
- (Fuzzy) ELECTRE
- Applications of fuzzy MCDA methods
- Applications of outranking MCDA methods