An extension of LINMAP method for group decision making under fuzzy environment

Adel Hatami-Marbini; Fatemeh Kangi; Saber Saati

doi:10.1109/IFSC.2013.6675633

An extension of LINMAP method for group decision making under fuzzy environment

Adel Hatami-Marbini, Fatemeh Kangi, Saber Saati

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The linear programming technique for multidimensional analysis of preference (LINMAP) as a multi-attribute decision-making (MADM) technique has a capability of determining the weights of attributes as well as providing a ranking order of alternatives through a linear programming model. The conventional LINMAP method used the precise and deterministic data while in reality fuzziness and impreciseness in data are inherent. Linguistic terms that can be characterized by fuzzy numbers are ideal means for handling ambiguity and impreciseness. This study presents a fuzzy decision-making framework to deal with ambiguous data in LINMAP model.

Original language	English
Title of host publication	2013 13th Iranian Conference on Fuzzy Systems (IFSC)
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781479912278, 9781479912285
DOIs	https://doi.org/10.1109/IFSC.2013.6675633
Publication status	Published - 2 Dec 2013
Externally published	Yes
Event	13th Iranian Conference on Fuzzy Systems - Qazvin, Iran, Islamic Republic of Duration: 27 Aug 2013 → 29 Aug 2013 Conference number: 13

Conference

Conference	13th Iranian Conference on Fuzzy Systems
Abbreviated title	IFSC 2013
Country/Territory	Iran, Islamic Republic of
City	Qazvin
Period	27/08/13 → 29/08/13

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10.1109/IFSC.2013.6675633Licence: Unspecified

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title = "An extension of LINMAP method for group decision making under fuzzy environment",

abstract = "The linear programming technique for multidimensional analysis of preference (LINMAP) as a multi-attribute decision-making (MADM) technique has a capability of determining the weights of attributes as well as providing a ranking order of alternatives through a linear programming model. The conventional LINMAP method used the precise and deterministic data while in reality fuzziness and impreciseness in data are inherent. Linguistic terms that can be characterized by fuzzy numbers are ideal means for handling ambiguity and impreciseness. This study presents a fuzzy decision-making framework to deal with ambiguous data in LINMAP model.",

keywords = "fuzzy linear programming, fuzzy ranking approach, group decision-making, multi-attribute decision making",

author = "Adel Hatami-Marbini and Fatemeh Kangi and Saber Saati",

year = "2013",

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day = "2",

doi = "10.1109/IFSC.2013.6675633",

language = "English",

booktitle = "2013 13th Iranian Conference on Fuzzy Systems (IFSC)",

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T1 - An extension of LINMAP method for group decision making under fuzzy environment

AU - Hatami-Marbini, Adel

AU - Kangi, Fatemeh

AU - Saati, Saber

N1 - Conference code: 13

PY - 2013/12/2

Y1 - 2013/12/2

N2 - The linear programming technique for multidimensional analysis of preference (LINMAP) as a multi-attribute decision-making (MADM) technique has a capability of determining the weights of attributes as well as providing a ranking order of alternatives through a linear programming model. The conventional LINMAP method used the precise and deterministic data while in reality fuzziness and impreciseness in data are inherent. Linguistic terms that can be characterized by fuzzy numbers are ideal means for handling ambiguity and impreciseness. This study presents a fuzzy decision-making framework to deal with ambiguous data in LINMAP model.

AB - The linear programming technique for multidimensional analysis of preference (LINMAP) as a multi-attribute decision-making (MADM) technique has a capability of determining the weights of attributes as well as providing a ranking order of alternatives through a linear programming model. The conventional LINMAP method used the precise and deterministic data while in reality fuzziness and impreciseness in data are inherent. Linguistic terms that can be characterized by fuzzy numbers are ideal means for handling ambiguity and impreciseness. This study presents a fuzzy decision-making framework to deal with ambiguous data in LINMAP model.

KW - fuzzy linear programming

KW - fuzzy ranking approach

KW - group decision-making

KW - multi-attribute decision making

UR - http://www.scopus.com/inward/record.url?scp=84899098258&partnerID=8YFLogxK

U2 - 10.1109/IFSC.2013.6675633

DO - 10.1109/IFSC.2013.6675633

M3 - Conference contribution

AN - SCOPUS:84899098258

BT - 2013 13th Iranian Conference on Fuzzy Systems (IFSC)

PB - IEEE

T2 - 13th Iranian Conference on Fuzzy Systems

Y2 - 27 August 2013 through 29 August 2013

ER -

An extension of LINMAP method for group decision making under fuzzy environment

Abstract

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