Enhancing Decomposition Approach for Solving Multi-Objective Dynamic Non-Linear Programming Problems Involving Fuzziness
نویسندگان
چکیده
In real-life scenarios, there are many mathematical tools to handle incomplete and imprecise data. One of them is the fuzzy approach. The main issue with addressing nonlinear interval programming (NIP) problems that optimal solution problem a decision made under uncertainty has risk not satisfying feasibility optimality criteria. Some strategies this kind using classical terminology such as feasible solution. These insufficient for efficient analysis since properties in an uncertain environment ignored. Therefore, proposed approach, more suitable terminologies were suggested process. addition, it combines parametric treatment interactive methodology. This article aims contribute literature multi-objective dynamic (MODP) issues involving objective functions. piecewise quadratic numbers characterize these parameters. basic notions α-pareto concept redefined analyzed study stability problem. Furthermore, technique, named decomposition approach (DP), presented achieving subset space contains same For better understanding concept, numerical example provided.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11143123