Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators

被引：1

作者：

Al-Shamiri, Mohammed M. ^{[1
,2
]}

Ismail, Rashad ^{[1
,2
]}

Qurashi, Saqib Mazher ^{[3
]}

Dilawar, Fareeha ^{[4
]}

Shami, Faria Ahmed ^{[5
]}

机构：

[1] King Khalid Univ, Fac Sci & Arts Mahayl Assir, Dept Math, Abha, Saudi Arabia

[2] Ibb Univ, Fac Sci, Dept Math & Comp, Ibb, Yemen

[3] Univ Faisalabad, Govt Coll, Faisalabad, Pakistan

[4] Women Univ Faisalabad, Govt Coll, Faisalabad, Pakistan

[5] Bangabandhu Sheikh Mujibur Rahman Sci & Technol Un, Dept Math, Gopalganj, Bangladesh

来源：

JOURNAL OF MATHEMATICS | 2023年 / 2023卷

关键词：

MEMBERSHIP GRADES; NUMBERS;

D O I：

10.1155/2023/3359858

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Unpredictability and fuzziness coexist in decision-making analysis due to the complexity of the decision-making environment. "Pythagorean fuzzy numbers" (PFNs) outperform "intuitionistic fuzzy numbers" (IFNs) when dealing with unclear data. The "Pythagorean fuzzy set" (PFS) is a useful tool because it removes the restriction that the sum of membership degrees be less than or equal to one by substituting the square sum for the sum of membership degrees. This study proposes two aggregating operators (AOs). The recommended operators outperform the already specified PFN operators. The proposed operator is utilised in the multicriteria decision-making process to identify the best candidate for instruction (MCDM).

引用

页数：10

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