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首页> 外文期刊>International Journal of Fuzzy Systems >Supplier Selection Problem with Type-2 Fuzzy Parameters: A Neutrosophic Optimization Approach
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Supplier Selection Problem with Type-2 Fuzzy Parameters: A Neutrosophic Optimization Approach

机译：2型模糊参数的供应商选择问题：中性化学优化方法

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摘要

This paper investigates the multiobjective supplier selection problem (SSP) with type-2 fuzzy parameters. All the involved parameters such as aggregate demand, budget allocation, quota flexibility, rating values, are depicted as type-2 triangular fuzzy (T-2TF) parameters. To tackle the T-2TF, first, critical values (CV)-based reduction method is introduced, and then chance-constrained programming is modeled to obtain the crisp version of the multiobjective SSP. Secondly, an interval-based approximation method is also developed for defuzzifying the T-2TF parameters. Further, a novel interactive neutrosophic programming approach is also suggested to solve the deterministic multiobjective SSP, which allows the decision-makers to incorporate the neutral thoughts or indeterminacy degrees efficiently. The computational study is presented to verify and validate the defuzzfied techniques and the proposed solution approach. An ample opportunity to select the most desired compromise solution with maximum overall satisfaction level is also addressed. Finally, the conclusions and future research direction are revealed based on the discussed work.
机译：本文调查了具有类型-2型模糊参数的多目标供应商选择问题（SSP）。所有涉及的参数，如聚合需求，预算分配，配额灵活性，额定值，额定值，被描绘为类型-2三角形模糊（T-2TF）参数。为了解决T-2TF，首先介绍了基于临界值（CV）的减少方法，然后建模机会约束编程以获得多目标SSP的清晰版本。其次，还开发了一种基于间隔的近似方法，用于在T-2TF参数上进行排出。此外，还提出了一种新颖的互动中性学编程方法来解决确定性多目标SSP，这使得决策者能够有效地结合中立的思想或不确定性度。提出了计算研究以验证并验证污水的技术和所提出的解决方案方法。还有充足的机会选择最大的泄露解决方案，最大的整体满意度水平也是如此。最后，基于讨论的工作揭示了结论和未来的研究方向。

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