Trisectional fuzzy trapezoidal approach to optimize interval data based transportation problem

被引：18

作者：

Bisht, Dinesh C. S. ^{[1
]}

Srivastava, Pankaj Kumar ^{[1
]}

机构：

[1] Jaypee Inst Informat Technol, Dept Math, Noida 201304, India

来源：

JOURNAL OF KING SAUD UNIVERSITY SCIENCE | 2020年 / 32卷 / 01期

关键词：

Fuzzy transportation problem; Trisectional trapezoidal approach; Interval based data; Optimal solution;

D O I：

10.1016/j.jksus.2018.04.013

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

This research article puts forward a combination of two new thoughts to solve interval data based transportation problems (IBTPs). Firstly IBTP is converted to fuzzy transportation problem using trisectional approach and secondly a newly proposed ranking technique based on in-centre concept is applied for conversion to crisp number. It is supported with numerical illustrations to test the relevance of the scheme. Comparison with other existing methods confirms its significance for transportation problems having interval data. (C) 2018 The Authors. Production and hosting by Elsevier B.V.

引用

页码：195 / 199

页数：5

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