Angelov, Plamen (1994) Approximate reasoning based optimization. Yugoslav Journal of Operations Research, 4 (1). pp. 11-17. ISSN 0354-0243Full text not available from this repository.
A new approach to fuzzy optimization is proposed. It is based on application of approximate reasoning categories in order to obtain a more flexible representation of logical aggregation and defuzzification. It allows to design a non-iterative algorithm for fuzzy optimization which surpass the well-known Zimmermann's approach. Bellman-Zadeh' s method can be considered as a special case of the approach proposed here. An illustrative example is presented.
|Journal or Publication Title:||Yugoslav Journal of Operations Research|
|Uncontrolled Keywords:||approximate reasoning ; fuzzy optimization ; aggregation ; defuzzification|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited By:||Dr. Plamen Angelov|
|Deposited On:||30 Sep 2009 16:15|
|Last Modified:||21 Mar 2014 09:55|
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