Improved OCRA Method Based on the Use of Interval Grey Numbers

被引:0
作者
Stanujkic, Dragisa [1 ]
Zavadskas, Edmundas Kazimieras [2 ]
Liu, Sifeng [3 ,4 ]
Karabasevic, Darjan [5 ]
Popovic, Gabrijela [1 ]
机构
[1] John Naisbitt Univ, Fac Management Zajecar, Pk Suma Kraljevica Bb, Zajecar 19000, Serbia
[2] Vilnius Gediminas Tech Univ, Res Inst Smart Bldg Technol, Civil Engn Fac, Sauletekio Al 11, LT-10221 Vilnius, Lithuania
[3] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Jiangsu, Peoples R China
[4] Nanjing Univ Aeronaut & Astronaut, Inst Grey Syst Studies, Nanjing 211106, Jiangsu, Peoples R China
[5] Univ Business Acad Novi Sad, Fac Appl Management Econ & Finance, Jevrejska 24, Belgrade 11000, Serbia
关键词
Multiple Criteria Decision Making; MCDM; OCRA; Improved OCRA; Interval Grey Numbers; CRITERIA DECISION-MAKING; OPERATIONAL PERFORMANCE; MATERIAL SELECTION; MOORA METHOD; FUZZY-SETS; SYSTEM; MODEL; ALTERNATIVES; CONTRACTOR; ATTRIBUTES;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Multiple Criteria Decision Making (MCDM) denotes the selection of the alternatives based on a set of often conflicting, criteria. As a result of using it for solving a large number of decision-making problems, a number of MCDM methods have been proposed. Some of these methods are further adapted to use grey numbers, with the aim of ensuring their broader usage. The Operational Competitiveness Rating (OCRA) method is a less frequently used MCDM method, for which the grey extension has not been proposed yet. Therefore, an improved OCRA method is proposed in this paper. In the proposed approach, the ordinary OCRA method is adapted for the purpose of enabling the use of grey numbers, which has enabled its usage for solving decision-making problems associated with uncertain and partially known information. In addition to this, in the improved OCRA method the original normalization procedure has been replaced by a new one. Finally, the usability and effectiveness of the proposed approach are checked on two numerical illustrations. The first is taken from the literature. The ranking results obtained by using the improved OCRA method are the same as the results obtained by using two prominent MCDM methods, which confirms the usability of the proposed approach. In the second one, the usability and efficiency of the improved OCRA method are verified in the case of the selection of the best capital investment project.
引用
收藏
页码:49 / 60
页数:12
相关论文
共 62 条
[1]  
Baradaran V, 2013, J GREY SYST-UK, V25, P46
[2]   A PREFERENCE RANKING ORGANIZATION METHOD - (THE PROMETHEE METHOD FOR MULTIPLE CRITERIA DECISION-MAKING) [J].
BRANS, JP ;
VINCKE, PH .
MANAGEMENT SCIENCE, 1985, 31 (06) :647-656
[3]  
Celik P., 1999, MANAGING SERVICE QUA, V9, P121, DOI [DOI 10.1108/09604529910257911, 10.1108/09604529910257911]
[4]  
Chakraborty R., 2013, International Journal of Industrial Engineering Computations, V4, P491, DOI 10.5267/j.ijiec.2013.06.006
[5]  
Chatterjee P., 2014, International Journal of Industrial Engineering Computations, V5, P315, DOI [10.5267/j.ijiec.2013.10.002, DOI 10.5267/J.IJIEC.2013.10.002, DOI 10.5267/j.ijiec.2013.10.002]
[6]   Material selection using preferential ranking methods [J].
Chatterjee, Prasenjit ;
Chakraborty, Shankar .
MATERIALS & DESIGN, 2012, 35 :384-393
[7]   Combining grey relation and TOPSIS concepts for selecting an expatriate host country [J].
Chen, MF ;
Tzeng, GH .
MATHEMATICAL AND COMPUTER MODELLING, 2004, 40 (13) :1473-1490
[8]   Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: Discussions on score functions and weight constraints [J].
Chen, Ting-Yu .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (02) :1848-1861
[9]   Intelligent Multi Criteria Decision Making Methods for Material Selection in Sugar Industry [J].
Darji, V. P. ;
Rao, R. V. .
INTERNATIONAL CONFERENCE ON ADVANCES IN MANUFACTURING AND MATERIALS ENGINEERING (ICAMME 2014), 2014, 5 :2585-2594
[10]  
Datta Saurav, 2013, Grey Systems: Theory and Application, V3, P201, DOI 10.1108/GS-05-2013-0008