We propose a multi-objective space search algorithm (MSSA) and introduce the identification of fuzzy inference systems based on the MSSA and information granulation (IG). The MSSA is a multi-objective optimization algorithm whose search method is associated with the analysis of the solution space. The multi-objective mechanism of MSSA is realized using a non-dominated sorting-based multi-object...

Abstract: The following work outlines a robust method for accounting the fuzziness of the objective space while dealing with the real world optimization problems. Use of mean/approximated value of input parameters doesn't account for the variability in the optimized solution inherited due to variability in the input parameters which is very crucial, especially in real world problems. The follow...

In this paper, a solution procedure has been given for the Chance Constrained Programming Models For Multi-Objective Interval Solid Transportation Problem under stochastic environment (MOISTP) where the cost coefficients of the objective functions, the source availability, destination demand and conveyance capacities have been taken as stochastic intervals by the decision makers. The problem ha...

In this paper, a solution procedure has been given for the Multi-Objective Interval Solid Transportation Problem under stochastic environment where the cost coefficients of the objective functions have been taken as random variables whereas the source availability, destination demand and conveyance capacities have been taken as stochastic intervals by the decision makers. The problem has been t...