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What is Fuzzy Goal Programming

Chapter 86
Encyclopedia of Business Analytics and Optimization
It is an extension of conventional goal programming, where aspiration level of each objective is taken unity concerning achievement of the highest degree (unity) of fuzzy goals of a problem.
Published in Chapter:
FGP for Chance Constrained Fractional MODM Problem
Shyamal Sen (Brahmananda Keshab Chandra College, India) and Bijay Baran Pal (University of Kalyani, India)
Copyright: © 2014 |Pages: 17
DOI: 10.4018/978-1-4666-5202-6.ch086
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Chapter 35
Genetic Algorithm for FGP Model of a Multiobjective Bilevel Programming Problem in Uncertain Environment
In terms of achieving the highest membership value (unity) as the aspiration levels of the defined fuzzy goals are considered here in contrast to consideration of achieving the aspired levels (called goal levels) of objectives in conventional goal programming approach.
Published in Chapter: Genetic Algorithm for FGP Model of a Multiobjective Bilevel Programming Problem in Uncertain Environment; From: Handbook of Research on Natural Computing for Optimization Problems
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Chapter 87
FGP Model for Emission-Economic Power Dispatch
Fuzzy goal programming is an extension of conventional goal programming to solve multiobjective problems with imprecisely defined model parameters in a decision making environment.
Published in Chapter: FGP Model for Emission-Economic Power Dispatch; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 94
GA Based FGP to Solve BLP Model of EEPGD Problem
It is an extension of conventional goal programming to solve multiobjective problems with fuzzily described model parameters.
Published in Chapter: GA Based FGP to Solve BLP Model of EEPGD Problem; From: Encyclopedia of Business Analytics and Optimization
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Chapter 34
Using Fuzzy Goal Programming with Penalty Functions for Solving EEPGD Problem via Genetic Algorithm
Fuzzy goal programming is an extension of conventional goal programming to solve decision problems with multiplicity of objectives in an imprecise environment. In this approach, instead of measuring achievement of fuzzy objective values directly, achievement of membership values of objectives to the possible extent to the highest degree (unity) by minimizing under-deviations is taken into account in a solution search process.
Published in Chapter: Using Fuzzy Goal Programming with Penalty Functions for Solving EEPGD Problem via Genetic Algorithm; From: Handbook of Research on Natural Computing for Optimization Problems
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 93
GA Based FGP for Resource Allocation in Farming
Fuzzy goal programming is an extension of conventional goal programming to solving multiobjective decision problems with imprecisely defined model parameters.
Published in Chapter: GA Based FGP for Resource Allocation in Farming; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
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