Genetic algorithm based fuzzy weighted average for multi-criteria decision making problems

DOI10.1007/s12597-011-0044-3zbMath1253.90227OpenAlexW1987254733MaRDI QIDQ693108

Kusum Deep, M. L. Kansal, Krishna Pratap Singh

Publication date: 7 December 2012

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-011-0044-3

zbMATH Keywords

nonlinear programmingfuzzy numbermulti-criteria decision makingreal coded genetic algorithmsfuzzy weighted average

Mathematics Subject Classification ID

Applications of mathematical programming (90C90)

Cites Work

• Unnamed Item
• Unnamed Item
• Fuzzy multiple attributes and multiple hierarchical decision making
• The multiple judge, multiple criteria ranking problem: A fuzzy set approach
• Applying the fuzzy-weighted-average approach to evaluate network security systems
• An interactive method for fuzzy multiple attribute group decision making
• A new mutation operator for real coded genetic algorithms
• Ranking alternatives using fuzzy numbers
• Fuzzy weighted averages and implementation of the extension principle
• Fuzzy sets and systems. Theory and applications
• A procedure for ordering fuzzy subsets of the unit interval
• Rating and ranking of multiple-aspect alternative using fuzzy sets
• The concept of a linguistic variable and its application to approximate reasoning. I
• Ranking alternatives with fuzzy weights using maximizing set and minimizing set
• Fuzzy weighted average: An improved algorithm
• Extensions of the TOPSIS for group decision-making under fuzzy environment
• Fuzzy weighted average: The linear programming approach via Charnes and Cooper's rule
• A new crossover operator for real coded genetic algorithms
• Decisionmaking in the Presence of Fuzzy Variables
• Fractional programming approach to fuzzy weighted average.

This page was built for publication: Genetic algorithm based fuzzy weighted average for multi-criteria decision making problems