Selection of optimal aluminum alloy using TOPSIS method under fuzzy environment

被引：19

作者：

Bhattacharjee, Pushparenu ^{[1
]}

Debnath, Abhiman ^{[1
]}

Chakraborty, Sujoy ^{[1
]}

Mandal, Uttam Kumar ^{[1
]}

机构：

[1] NIT, Dept Prod Engn, Agartala 799046, India

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2017年 / 32卷 / 01期

关键词：

Aluminum; aerospace and automotive industry; fuzzy TOPSIS; triangular fuzzy numbers; sensitivity analysis;

D O I：

10.3233/JIFS-161049

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Selection of material plays an important role for any industry as an improper selection of material may lead to loss of lives, equipment and money. The present study aims to overcome this kind of problem by finding the best aluminum alloy for industries like aerospace and automotive which are seeks to made parts with this material because of its outstanding properties. A Multi Criteria Decision Making (MCDM) method known as TOPSIS (Technique of Order Preference by Similarity to the Ideal Solution) is utilized under fuzzy environment considering multiple qualitative and quantitative criterion values. A number of decision maker's opinion is considered with a Triangular fuzzy numbers for weighing the criteria. Best alternative is chosen based on the distance of alternatives from positive and negative ideal solution. It is observed that A1-5083-H112 is the best alternative. Sensitivity analysis is also done to determine how different values of an independent variable will impact a particular dependent variable under a given set of assumptions.

引用

页码：871 / 876

页数：6

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