“…In light of advanced computing systems, FNLOP becomes one of the most promising approaches to solve practical application problems. FNLOP has been recently utilized in finance and engineering problems more frequently 11–17 . For example, Zhu et al 11 suggested an interval FNLOP scheme for seasonal planning, in Reference 12 Wu and Liao addressed a FNLOP approach to evaluate processes by imprecise data, in Reference 13, Zhu et al addressed an interval‐parameter FNLOP scheme for stream water quality management under uncertainty, in Reference 14, Tang and Wang utilized a type of FNLOP for modeling a manufacturing system, in Reference 15, Lu and Liu expanded a fuzzy optimization model to calculate the fuzzy S/Nratio for the assessment of the manufacturing processes with fuzzy observations, in Reference 12, Wu and Liao established fuzzy numbers to perform the quality characteristic measurements, and a nonlinear programming scheme was applied to solve the fuzzy estimator, in Reference 16, Mousavi et al employed a distance‐based decision framework for multi‐attributes analysis by studying intuitionistic fuzzy sets and grey relations with an application to the inspection planning in manufacturing firms, and in Reference 17, Hsu et al indicated an agent‐based fuzzy constraint‐directed negotiation mechanism to solve distributed job shop scheduling problems, and the experimental results announced that their model can organize cost‐effective job shop scheduling.…”