12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Approximate reasoning based optimization.
View graph of relations

« Back

Approximate reasoning based optimization.

Research output: Contribution to journalJournal article

Published

Journal publication date1994
JournalYugoslav Journal of Operations Research
Journal number1
Volume4
Number of pages7
Pages11-17
Original languageEnglish

Abstract

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.