Intuitionistic multi fuzzy ideals of near-rings

Nadia Batool, Sadaqat Hussain, N. Kausar, Mohammed Munir, R. Li, Salma Khan
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引用次数: 2

Abstract

Real-world data is often partial, uncertain, or incomplete. Decision-making based on data as such can be addressed by fuzzy sets and related systems. This article studies the intuitionistic multi-fuzzy sub-near rings and Intuitionistic multi-fuzzy ideals of near rings. It presents some of the elementary operations and relations defined on these structures. The concept of level subsets and support of the Intuitionistic multi-fuzzy sub-near ring is also presented. It looks into and demonstrates a few characteristics of intuitionistic multi-fuzzy near-rings and ideals. This research advances fuzzy set theory, which is often applied to problems involving pattern recognition and multiple criterion decision-making. Thus, the results may be beneficial to artificial intelligence related research. Alternatively, the intuitionistic multi-fuzzy approach may be applied to vector spaces and modules or extended to inter-valued fuzzy systems.
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近环的直觉多模糊理想
真实世界的数据往往是部分的、不确定的或不完整的。基于数据的决策可以通过模糊集和相关系统来解决。本文研究了直觉多模糊子近环和近环的直觉多模糊理想。它介绍了在这些结构上定义的一些基本运算和关系。给出了直觉多模糊子近环的水平子集的概念和支持。研究并证明了直觉多模糊近环和理想的几个特征。该研究提出了模糊集理论,该理论经常应用于涉及模式识别和多准则决策的问题。因此,研究结果可能有利于人工智能的相关研究。或者,直觉多模糊方法可以应用于向量空间和模块,或者扩展到值间模糊系统。
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
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