Decision making with fuzzy quadratic programming

20 September 1990

journal article
research article
Published by Taylor & Francis in Civil Engineering Systems

Vol. 7 (3) , 140-147
https://doi.org/10.1080/02630259008970582

Abstract

Decision making in civil engineering systems necessarily involves imprecise data. Fuzzy linear programming (FLP) has been used to deal with imprecision in parameter definitions. In this paper, it is argued that present methods of FLP can be improved upon by using a new method of fuzzy quadratic programming (FQP) which enables the modelling of independent fuzzy parameters. Several numerical examples are presented and compared with other techniques.

Keywords

This publication has 11 references indexed in Scilit:

Fuzzy goal programming — An additive model
Fuzzy Sets and Systems, 1987
Uncertain Inference in Knowledge‐Based Systems
Journal of Engineering Mechanics, 1987
Optimal Plastic Design with Imprecise Data
Journal of Engineering Mechanics, 1986
Support logic programming
International Journal of Intelligent Systems, 1986
Fuzzy programming and imprecise data
Civil Engineering Systems, 1984
Linear programming with imprecise data
Civil Engineering Systems, 1983
Sensitivity analysis in fuzzy linear programming
Fuzzy Sets and Systems, 1978
Fuzzy programming and linear programming with several objective functions
Fuzzy Sets and Systems, 1978
DESCRIPTION AND OPTIMIZATION OF FUZZY SYSTEMS
International Journal of General Systems, 1976
Decision-Making in a Fuzzy Environment
Management Science, 1970