Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...

The patient-reported measures evaluated in this study showed moderate or weak correlations with objective measures of physical function. Correlation between patient-reported physical function and ...

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Abstract: The conventional Linear Programming (LP) model requires the parameters to be known as constants. In the real world, however, the parameters are seldom known exactly and have to be estimated.

ABSTRACT: Many concrete real life problems ranging from economic and business to industrial and engineering may be cast into a multi-objective optimisation framework. The redundancy of existing ...

In this paper we discuss about infeasibility diagnosis and infeasibility resolution, when the constraint method is used for solving multi objective linear programming problems. We propose an algorithm ...

Abstract: A new single soft-fault diagnosis approach for analog circuit with parameter tolerance is proposed in this paper. The approach uses multi-objective linear programming (MLP) concept and fuzzy ...