Solving a multiobjective possibilistic problem through compromise programming
DOI10.1016/j.ejor.2003.11.028zbMath1057.90056OpenAlexW2048542883WikidataQ57608433 ScholiaQ57608433MaRDI QIDQ1767695
Publication date: 8 March 2005
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2003.11.028
Multiobjective programmingMultiple criteria decision makingFuzzy numberCompromise programmingExpected intervalPossibility distribution
Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Related Items (16)
Cites Work
- Fuzzy data analysis by possibilistic linear models
- Multiple-criteria decision making. Concepts, techniques, and extensions. With the assistance of Yoon-Ro Lee and Antonie Stam
- Default reasoning and possibility theory
- Solving possibilistic linear programming problems
- The expected value of a fuzzy number
- Fuzzy sets as a basis for a theory of possibility
- On the monotonicity of the compromise set in multicriteria problems
- Solution of a possibilistic multiobjective linear programming problem
- Solving the multiobjective possibilistic linear programming problem
- RANKING FUZZY NUMBERS THROUGH THE COMPARISON OF ITS EXPECTED INTERVALS
- Operations on fuzzy numbers
- Possibilistic linear programming with triangular fuzzy numbers
- A fuzzy goal programming approach to portfolio selection
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