Determination of weights of criteria for decision making by the fuzzy eigenvector method

C. H. Juang; X. H. Huang; S. D. Schiff

doi:10.1080/02630259208970636

Determination of weights of criteria for decision making by the fuzzy eigenvector method

C. H. Juang, X. H. Huang, S. D. Schiff

Department of Civil Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This paper documents a new method for determining the weights of criteria in a decision tree. The method is a modification of the well-accepted eigenvector method by Saaty. The new method utilizes fuzzy set mathematics to improve the scaling scheme used in the Saaty’s procedure. Emphasis of the paper is placed on the computational aspects of the new method. An example is worked out to illustrate the new method, and the potential applications of the method are discussed.

Original language	English
Pages (from-to)	1-16
Number of pages	16
Journal	Civil Engineering Systems
Volume	9
Issue number	1
DOIs	https://doi.org/10.1080/02630259208970636
State	Published - Aug 1992

Keywords

decision making
fuzzy eigenvector method
Monte Carlo simulation
weights

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10.1080/02630259208970636

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title = "Determination of weights of criteria for decision making by the fuzzy eigenvector method",

abstract = "This paper documents a new method for determining the weights of criteria in a decision tree. The method is a modification of the well-accepted eigenvector method by Saaty. The new method utilizes fuzzy set mathematics to improve the scaling scheme used in the Saaty{\textquoteright}s procedure. Emphasis of the paper is placed on the computational aspects of the new method. An example is worked out to illustrate the new method, and the potential applications of the method are discussed.",

keywords = "decision making, fuzzy eigenvector method, Monte Carlo simulation, weights",

author = "Juang, {C. H.} and Huang, {X. H.} and Schiff, {S. D.}",

note = "Funding Information: The study on which this paper is based was supported partially by the National Science Foundation under Grant No. MSS-9020252 to Clemson University. The authors also wish to acknowledge K. P. Kao for his review of the new fuzzy eigenvector method.",

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AU - Juang, C. H.

AU - Huang, X. H.

AU - Schiff, S. D.

N1 - Funding Information: The study on which this paper is based was supported partially by the National Science Foundation under Grant No. MSS-9020252 to Clemson University. The authors also wish to acknowledge K. P. Kao for his review of the new fuzzy eigenvector method.

PY - 1992/8

Y1 - 1992/8

N2 - This paper documents a new method for determining the weights of criteria in a decision tree. The method is a modification of the well-accepted eigenvector method by Saaty. The new method utilizes fuzzy set mathematics to improve the scaling scheme used in the Saaty’s procedure. Emphasis of the paper is placed on the computational aspects of the new method. An example is worked out to illustrate the new method, and the potential applications of the method are discussed.

AB - This paper documents a new method for determining the weights of criteria in a decision tree. The method is a modification of the well-accepted eigenvector method by Saaty. The new method utilizes fuzzy set mathematics to improve the scaling scheme used in the Saaty’s procedure. Emphasis of the paper is placed on the computational aspects of the new method. An example is worked out to illustrate the new method, and the potential applications of the method are discussed.

KW - decision making

KW - fuzzy eigenvector method

KW - Monte Carlo simulation

KW - weights

UR - http://www.scopus.com/inward/record.url?scp=0343404259&partnerID=8YFLogxK

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M3 - 期刊論文

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EP - 16

JO - Civil Engineering Systems

JF - Civil Engineering Systems

SN - 0263-0257

IS - 1

ER -

Determination of weights of criteria for decision making by the fuzzy eigenvector method

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Keywords

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