Title of article :
Study on solution models and methods for the fuzzy assignment problems
Author/Authors :
Li، نويسنده , , Fachao and Xu، نويسنده , , Li Da and Jin، نويسنده , , Chenxia and Wang، نويسنده , , Hong، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
8
From page :
11276
To page :
11283
Abstract :
In this study, commercing from the structural characteristics of fuzzy information, we propose the concept of level effect function, which can be used to describe fuzziness consciousness and to establish an IL-metric method to measure all aspects of fuzzy information; further, we present an uncertainty metric model of concentrated quantification value; then, we establish two kinds of solution models based on the synthesizing effect of fuzzy assignment problems, by combining the genetic algorithm and assignment problems, and describe a concrete implementation strategy and algorithm to fuzzy assignment problem (denoted by GA⊕SE-FAM, for short); finally, we consider the algorithm’s convergence using Markov chain theory, and analyze its performance through simulation of practical examples. All of these indicate that this algorithm possesses the advantages of higher feasibility and easier operationalization, as such, it can be widely used in many fuzzy assignment problems.
Keywords :
Fuzzy assignment problem , IL-metric , genetic algorithm , UL-dispersion , Level effect function , Markov chain
Journal title :
Expert Systems with Applications
Serial Year :
2012
Journal title :
Expert Systems with Applications
Record number :
2352454
Link To Document :
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