INTUITIONISTIC FUZZY EDAS METHOD: AN APPLICATION TO SOLID WASTE DISPOSAL SITE SELECTION

被引：222

作者：

Kahraman, Cengiz ^{[1
]}

Keshavarz Ghorabaee, Mehdi ^{[2
]}

Zavadskas, Edmundas Kazimieras ^{[3
]}

Onar, Sezi Cevik ^{[1
]}

Yazdani, Morteza ^{[2
,4
]}

Oztaysi, Basar ^{[1
]}

机构：

[1] Istanbul Tech Univ, Dept Ind Engn, TR-34367 Istanbul, Turkey

[2] Allameh Tabatabai Univ, Fac Management Accounting, Dept Ind Management, Tehran, Iran

[3] Vilnius Gediminas Tech Univ, Fac Civil Engn, Dept Construct Technol & Management, Vilnius, Lithuania

[4] Univ European Madrid, Dept Management Sci, Madrid, Spain

来源：

JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT | 2017年 / 25卷 / 01期

关键词：

EDAS; ordinary fuzzy sets; intuitionistic fuzzy sets; solid waste; site selection; average solution; multicriteria decision making (MCDM); MULTICRITERIA DECISION-MAKING; PERFORMANCE-MEASUREMENT; AGGREGATION OPERATORS; AHP; TOPSIS; MODEL; MAINTENANCE; DEMATEL; VIKOR; SET;

D O I：

10.3846/16486897.2017.1281139

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Evaluation based on Distance from Average Solution (EDAS) is a new multicriteria decision making (MCDM) method, which is based on the distances of alternatives from the average scores of attributes. Classical EDAS has been already extended by using ordinary fuzzy sets in case of vague and incomplete data. In this paper, we propose an interval-valued intuitionistic fuzzy EDAS method, which is based on the data belonging to membership, nonmembership, and hesitance degrees. A sensitivity analysis is also given to show how robust decisions are obtained through the proposed intuitionistic fuzzy EDAS. The proposed intuitionistic fuzzy EDAS method is applied to the evaluation of solid waste disposal site selection alternatives. The comparative and sensitivity analyses are also included.

引用

页码：1 / 12

页数：12

共 45 条

[1] INTERVAL VALUED INTUITIONISTIC FUZZY-SETS [J].

ATANASSOV, K ;

GARGOV, G .

FUZZY SETS AND SYSTEMS, 1989, 31 (03) :343-349

[2] INTUITIONISTIC FUZZY-SETS [J].

ATANASSOV, KT .

FUZZY SETS AND SYSTEMS, 1986, 20 (01) :87-96

[3] A state-of the-art survey of TOPSIS applications [J].

Behzadian, Majid ;

Otaghsara, S. Khanmohammadi ;

Yazdani, Morteza ;

Ignatius, Joshua .

EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (17) :13051-13069

[4] A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers [J].

Buyukozkan, Gulcin ;

Cifci, Gizem .

EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) :3000-3011

[5] Applications of WASPAS Method in Manufacturing Decision Making [J].

Chakraborty, Shankar ;

Zavadskas, Edmundas Kazimieras .

INFORMATICA, 2014, 25 (01) :1-20

[6]

Corrente S., 2013, OMEGA, V41

[7] Supplier selection using AHP methodology extended by D numbers [J].

Deng, Xinyang ;

Hu, Yong ;

Deng, Yong ;

Mahadevan, Sankaran .

EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (01) :156-167

[8] An Overview of ELECTRE Methods and their Recent Extensions [J].

Figueira, Jose Rui ;

Greco, Salvatore ;

Roy, Bernard ;

Slowinski, Roman .

JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS, 2013, 20 (1-2) :61-85

[9] Uncertain fuzzy reasoning: A case study in modelling expert decision making [J].

Garibaldi, Jonathan M. ;

Ozen, Turban .

IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (01) :16-30

[10]

Grattan-Guiness I., 1975, ZEITSCHRIFT FUER MAT, V22

← 1 2 3 4 5 →