Approximate Reasoning for Solving Fuzzy Linear Programming Problems
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Summary
The proposed solution principle is extended to non-linear programming problems with fuzzy coefficients as multiple fuzzy reasoning schemes (MFR), where the antecedents of the scheme correspond to the constraints of the FLP problem and the fact of the schemes is the objective of theFLP problem.
- Type
- article
- Published
- 1993-01-01
- Cited by
- 3
- References
- 20
- OpenAlex
- https://openalex.org/W37641680
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14301258
Keywords
Mathematics, Fuzzy logic, Fuzzy number, Type-2 fuzzy sets and systems, Mathematical optimization
References
- Solving possibilistic linear programming
- A procedure for ranking fuzzy numbers using fuzzy relations
- Possibilistic linear programming with triangular fuzzy numbers
- Transitive fuzzy orderings of fuzzy numbers
- The current interest in fuzzy optimization
- Systems of linear fuzzy constraints
- Tackling an MCDM-problem with the help of some results from fuzzy set theory
- Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
- Approximate reasoning for solving fuzzy MCDM problems
- Fuzzy solution in fuzzy linear programming problems
- Applications of fuzzy set theory to mathematical programming
- Inequality relation between fuzzy numbers and its use in fuzzy optimization
- Fuzzy programming and linear programming with several objective functions
- On formalization of a general fuzzy mathematical problem
- The concept of a linguistic variable and its application to approximate reasoning-III
- DESCRIPTION AND OPTIMIZATION OF FUZZY SYSTEMS
- Fuzzy mathematical programming
- The concept of a linguistic variable and its application to approximate reasoning - I
- On Zadeh’s Compositional Rule of Inference
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