Solving MCDM Problem Using PROMETHEE with Non Crisp Data

被引：0

作者：

Gupta, Rajesh ^{[1
]}

Sachdeva, Anish ^{[2
]}

Bhardwaj, Arvind ^{[2
]}

机构：

[1] Giani Zail Singh Punjab Tech Univ, Dept Mech Engn, Bathinda 151001, Punjab, India

[2] Dr B R Ambedkar Natl Inst Technol, Dept Ind & Prod Engn, Jalandhar, India

来源：

INTERNATIONAL CONFERENCE ON FRONTIERS OF ENERGY, ENVIRONMENTAL MATERIALS AND CIVIL ENGINEERING (FEEMCE 2013) | 2013年

关键词：

PROMETHEE; Fuzzy; Logistics service provider (LSP);

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Many a times, the engineers in the industry are facing various types of multi criteria decision making (MCDM) problems where the selection of one of the alternative is to be done on the basis of various criteria which are conflicting in nature. The selection of the most suitable alternative is a very cumbersome job. A framework is proposed to make decisions in such situation using fuzzy PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations). The proposed methodology is easy to implement and quite reliable for ranking the alternatives. A case study is conducted in a light engineering company in north India to select the best suitable logistic service provider (LSP). This approach can easily be used for other MCDM applications as.

引用

页码：96 / 101

页数：6

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