Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

Game theory has already proved its tremendous potential for conflict resolution problems in
the fields of Decision Theory and Economics. In the recent past, there have been attempts to …

We propose a two-phase approach to solve the fuzzy linear programming problem. Although
several methods in the literature have been proposed to treat this problem, the two-phase …

Supplier selection problem is a multi-criteria decision making problem which includes both
qualitative and quantitative factors. In the selection process many criteria may conflict with …

The problem of solving multi-objective linear-programming problems, by assuming that the
decision maker has fuzzy goals for each of the objective functions, is addressed. Several …

Many decision-making task are too complex to be understood quantitatively, however,
humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic …

This research article presents a novel two-step generalized parametric approach to address
various fuzzy parameter-based multi-objective transportation problems. These problems …

The paper analyzes the integrated fuzzy model with minimal latency in the location routing
inventory of perishable multi-product materials, taking into account environmental …

Part 1 of this series introduces the concept of an integrated palm oil processing complex
(POPC) and presents a systematic approach in synthesizing and optimizing an integrated …

In actual lot-sizing production-to-order problems for recoverable remanufacturing systems,
input data or parameters are often imprecise or fuzzy. This study develops a novel fuzzy …