A Pythagorean fuzzy approach to the transportation problem

被引：63
|
作者：
Kumar, R. [1 ]
Edalatpanah, S. A. [2 ]
Jha, S. [1 ]
Singh, R. [1 ]
机构：
[1] Natl Inst Technol, Dept Math, Jamshedpur, Bihar, India
[2] Ayandegan Inst Higher Educ, Dept Ind Engn, Tonekabon, Iran
来源：
COMPLEX & INTELLIGENT SYSTEMS | 2019年 / 5卷 / 02期
关键词：
Pythagorean fuzzy numbers; Transportation problem; Fuzzy numbers; Score function; DECISION-MAKING; INFORMATION; OPERATORS; EXTENSION; TOPSIS; AHP;
D O I：
10.1007/s40747-019-0108-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces a simplified presentation of a new computing procedure for solving the fuzzy Pythagorean transportation problem. To design the algorithm, we have described the Pythagorean fuzzy arithmetic and numerical conditions in three different models in Pythagorean fuzzy environment. To achieve our aim, we have first extended the initial basic feasible solution. Then an existing optimality method is used to obtain the cost of transportation. To justify the proposed method, few numerical experiments are given to show the effectiveness of the new model. Finally, some conclusion and future work are discussed.
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页码：255 / 263
页数：9
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