A procedure for optimizing development decisions
Automatica (Journal of IFAC)
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
On the fusion of multi-granularity linguistic label sets in group decision making
Computers and Industrial Engineering
Fuzzy preference modeling and its application to multiobjective decision making
Computers & Mathematics with Applications
FALSCAL: A fuzzy multidimensional scaling algorithm
Computers & Mathematics with Applications
Information Sciences: an International Journal
Preference relation approach for obtaining OWA operators weights
International Journal of Approximate Reasoning
Fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations
Expert Systems with Applications: An International Journal
A fashion mix-and-match expert system for fashion retailers using fuzzy screening approach
Expert Systems with Applications: An International Journal
A new approach for ranking of trapezoidal fuzzy numbers
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design
Expert Systems with Applications: An International Journal
Adaptive management of natural systems using fuzzy logic
Environmental Modelling & Software
Expert Systems with Applications: An International Journal
Applying the fuzzy-weighted-average approach to evaluate network security systems
Computers & Mathematics with Applications
Two-objective method for crisp and fuzzy interval comparison in optimization
Computers and Operations Research
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Orlovsky's concept of decision-making with fuzzy preference relation-further results
Fuzzy Sets and Systems
The revised method of ranking LR fuzzy number based on deviation degree
Expert Systems with Applications: An International Journal
Parameterized OWA operator weights: An extreme point approach
International Journal of Approximate Reasoning
A new multi-perspective framework for multi-attribute decision making
Expert Systems with Applications: An International Journal
Representing preferences using intervals
Artificial Intelligence
Fuzzy decision support system for spread mooring system selection
Expert Systems with Applications: An International Journal
Algorithms of discrete optimization and their application to problems with fuzzy coefficients
Information Sciences: an International Journal
Technical communique: An algorithm for rating multiple-aspect alternatives using fuzzy sets
Automatica (Journal of IFAC)
Paper: Evidence measures based on fuzzy information
Automatica (Journal of IFAC)
Applying fuzzy weighted average approach to evaluate office layouts with Feng-Shui consideration
Mathematical and Computer Modelling: An International Journal
Group decision theory with convex combination of fuzzy evaluations
Mathematical and Computer Modelling: An International Journal
Synthetic realization approach to fuzzy global optimization via gamma algorithm
Mathematical and Computer Modelling: An International Journal
Modeling uncertain variables of the weighted average operation by fuzzy vectors
Information Sciences: an International Journal
The role of fuzzy sets in decision sciences: Old techniques and new directions
Fuzzy Sets and Systems
Correspondence: Fuzzy weighted averages and fuzzy convex sums: Author's response
Fuzzy Sets and Systems
How different are ranking methods for fuzzy numbers? A numerical study
International Journal of Approximate Reasoning
Chance-constrained programming with fuzzy stochastic coefficients
Fuzzy Optimization and Decision Making
An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 22.16 |
A method is proposed to deal with multiple-alternative decision problems under uncertainty. It is assumed that all the alternatives in the choice set can be characterized by a number of aspects, and that information is available to assign weights to these aspects and to construct a rating scheme for the various aspects of each alternative. The method basically consists of computing weighted final ratings for each alternative and comparing the weighted final ratings. The uncertainty that is assumed to be inherent in the assessments of the ratings and weights is accounted for by considering each of these variables as fuzzy quantities, characterized by appropriate membership functions. Accordingly, the final evaluation of the alternatives consists of a degree of membership in the fuzzy set of alternatives ranking first. A practical method is given to compute membership functions of fuzzy sets induced by mappings, and applied to the problem at hand. A number of examples are worked out. The method is compared to another one proposed by Kahne who approaches the problem probabilistically.