Decision Support System Based on Complex Fractional Orthotriple Fuzzy 2-Tuple Linguistic Aggregation Operator

Abstract

In this research, we provide tools to overcome the information loss limitation resulting from the requirement to estimate the results in the discrete initial expression domain. Through the use of 2-tuples, which are made up of a linguistic term and a numerical value calculated between [0.5,0.5), the linguistic information will be expressed. This model supports continuous representation of the linguistic data within its scope, permitting it to express any information counting received through an aggregation procedure. This study provides a novel approach to develop a linguistic multi-attribute group decision-making (MAGDM) approach with complex fractional orthotriple fuzzy 2-tuple linguistic (CFOF2TL) assessment details. Initially, the concept of a complex fractional orthotriple fuzzy 2-tuple linguistic set (CFO2TLS) is proposed to convey uncertain and fuzzy information. In the meantime, simple aggregation operators, such as CFOF2TL weighted average and geometric operators, are defined. In addition, the CFOF2TL Maclaurin’s symmetric mean (CFOF2TLMSM) operators and their weighted shapes are presented, and their attractive characteristics are also discussed. A new MAGDM approach is built using the developed aggregation operators to address managing economic crises under COVID-19 with the CFOF2TL information. As a result, the effectiveness and robustness of the developed method are accompanied by an empirical example, and a comparative study is carried out by contrasting it with previous approaches.

Geometric Aggregation Operators for Solving Multicriteria Group Decision-Making Problems Based on Complex Pythagorean Fuzzy Sets

“…Ћ 1 = 0.7e i2π(0.6) , 0.3e i2π(0.5) and Ћ 2 = 0.6e i2π(0.5) , 0.5e i2π(0.3) and = 2, then 36) , 0.41e i2π(0.66) Theorem 1. Let Ћ j = Ъ j e iл j , ф j e iτ j (1 ≤ j ≤ 2)be a family of CPyFNs, then…”

“…Liu et al [29] presented the idea of complex q-rung orthopair fuzzy sets and developed several aggregation operators using the proposed model. Some related work is found in [34][35][36][37]. Ali et al [38] introduced several complex interval-valued Pythagorean fuzzy geometric aggregation operators and their application to decision making problems.…”

“…Motivated by [39], where the authors developed several arithmetic aggregation operators, such as the CPyFWA operator, the CPyFOWA operator, the CPyFHA operator, versal set ¥ as: tors using the proposed model. Some related work is found in [34][35][36][37]. Ali et al [38] introduced several complex interval-valued Pythagorean fuzzy geometric aggregation operators and their application to decision making problems.…”

Varieties of Linguistic Intuitionistic Fuzzy Distance Measures for Linguistic Intuitionistic Fuzzy TOPSIS Method

“…In recent https://www.indjst.org/ days, linguistic intuitionistic fuzzy data has gained the attention of researchers to a large extent (5)(6)(7)(8)(9)(10)(11) . There are various aggregation operators proposed by researchers where a few can be mentioned (12)(13)(14)(15)(16)(17) . Fuzzy metric and distance measures are extremely important in Fuzzy Decision-Making situations (18)(19)(20) .…”