Implementation of intuitionistic fuzzy soft set theoretic scheme in decision making

Mousumi Akter, K. Fatema, S. Hossain
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Abstract

Fuzzy soft set theory is becoming more and more important for coming up with coherent and logical answers to numerous real-world issues that are riddled with uncertainty, imprecision, and vagueness. The intuitionistic fuzzy soft set was investigated theoretically later on. Wherever uncertainty resulting from ambiguity manifests in more sophisticated ways, the combination of intuitionistic fuzzy set and intuitionistic fuzzy soft set is more efficient from an implementational standpoint. In this paper, the motivation of our work is to establish a new methodology to select an object from an inexact multiobserver data with the idea of intuitionistic fuzzy soft set theory. Our methodology includes an algorithm based on “and”, “or” operation, max, min comparison data and comparison table. J. Bangladesh Acad. Sci. 47(1); 109-117: June 2023  
直觉模糊软集理论方案在决策中的实现
模糊软集理论在为许多充满不确定性、不精确性和模糊性的现实世界问题提供连贯和逻辑的答案方面变得越来越重要。随后对直觉模糊软集进行了理论研究。当模糊性导致的不确定性以更复杂的方式表现出来时,从实现的角度来看,直觉模糊集和直觉模糊软集的结合更有效。本文的工作动机是利用直觉模糊软集理论的思想,建立一种从不精确的多观测器数据中选择目标的新方法。我们的方法包括基于“和”、“或”运算、最大、最小比较数据和比较表的算法。科学通报,2011 (1);109-117: 2023年6月
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