Decision support systems: putting theory into practice
Decision support systems: putting theory into practice
IMOLP: An iteractive method for multiple objective linear programs
IEEE Transactions on Systems, Man and Cybernetics
A multiple objective linear programming decision support system
T.H.E. Journal (Technological Horizons in Education)
Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
Information Sciences—Informatics and Computer Science: An International Journal
Sensory evaluation based on linguistic decision analysis
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Intelligent multi-criteria fuzzy group decision-making for situation assessments
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on BISCSE 2005 " Forging the Frontiers" Part II
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Linguistic labels for expressing fuzzy preference relations infuzzy group decision making
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets
IEEE Transactions on Fuzzy Systems
On the relation between Compromise Programming and Ordered Weighted Averaging operator
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
A linguistic evaluation approach for universal design
Information Sciences: an International Journal
On weighted unbalanced linguistic aggregation operators in group decision making
Information Sciences: an International Journal
Hi-index | 0.07 |
Some multi-objective decision-making (MODM) methods are more effective than others for particular decision problems and/or particular decision makers. It is therefore necessary to provide a set of MODM methods in a multi-objective decision support system (MODSS) to support a wide range of problem solving. However, it is always difficult for decision makers to select the most suitable method for individual cases because MODM methods involve a deep knowledge of mathematics. To handle this difficulty, this study develops a MODM method selection guide supported by a fuzzy matching optimization method. In this paper, we first present the modelling process for the knowledge of characteristics of the main MODM methods. We then present related matching techniques between the characteristics of a real-world decision-making situation and a set of predefined situation descriptions (characteristics of a MODM method) where the elements of the two sets may be expressed by linguistic terms. Based on this process, a fuzzy matching optimization-based MODM method selection approach is proposed. The approach applies general fuzzy numbers, fuzzy distance, fuzzy multi-criteria decision-making concepts, and rule-based inference techniques to recommend the most suitable method from a MODM method-base. The approach is adopted in a linguistic intelligent user guide within a MODSS. Experiments have shown that the development of the linguistic intelligent user guide can increase the ability of the MODSS to support decision makers in arriving at a satisfactory solution in a most effective way.