Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy multiple attribute decision making: a review and new preference elicitation techniques
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A parametric representation of fuzzy numbers and their arithmetic operators
Fuzzy Sets and Systems - Special issue: fuzzy arithmetic
Fuzzy sets in decision analysis, operations research and statistics
Ranking fuzzy numbers using ω-weighted valuations
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
A simple computation of MIN and MAX operations for fuzzy numbers
Fuzzy Sets and Systems
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Integrated object-oriented framework for MCDM and DSS modelling
Decision Support Systems
A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard
Expert Systems with Applications: An International Journal
Group decision making process for supplier selection with VIKOR under fuzzy environment
Expert Systems with Applications: An International Journal
Innovation capital indicator assessment of Taiwanese Universities: A hybrid fuzzy model application
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Fuzzy UTASTAR: A method for discovering utility functions from fuzzy data
Expert Systems with Applications: An International Journal
A fuzzy TOPSIS model via chi-square test for information source selection
Knowledge-Based Systems
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
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The fuzzy VIKOR method has been developed to solve fuzzy multicriteria problem with conflicting and noncommensurable (different units) criteria. This method solves problem in a fuzzy environment where both criteria and weights could be fuzzy sets. The triangular fuzzy numbers are used to handle imprecise numerical quantities. Fuzzy VIKOR is based on the aggregating fuzzy merit that represents distance of an alternative to the ideal solution. The fuzzy operations and procedures for ranking fuzzy numbers are used in developing the fuzzy VIKOR algorithm. VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) focuses on ranking and selecting from a set of alternatives in the presence of conflicting criteria, and on proposing compromise solution (one or more). It is extended with a trade-offs analysis. A numerical example illustrates an application to water resources planning, utilizing the presented methodology to study the development of a reservoir system for the storage of surface flows of the Mlava River and its tributaries for regional water supply. A comparative analysis of results by fuzzy VIKOR and few different approaches is presented.