Optimization of Weighted Aggregated Sum Product Assessment

被引：790

作者：

Zavadskas, E. K. ^{[1
]}

Turskis, Z. ^{[1
]}

Antucheviciene, J. ^{[1
]}

Zakarevicius, A. ^{[2
]}

机构：

[1] Vilnius Gediminas Tech Univ, Fac Civil Engn, Dept Construct Technol & Management, LT-10223 Vilnius, Lithuania

[2] Vilnius Gediminas Tech Univ, Fac Civil Engn, Dept Geodesy & Cadaster, LT-10223 Vilnius, Lithuania

来源：

ELEKTRONIKA IR ELEKTROTECHNIKA | 2012年 / 122卷 / 06期

关键词：

MULTIMOORA; SELECTION; SOFTWARE; MCDM;

D O I：

10.5755/j01.eee.122.6.1810

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

E. K. Zavadskas, Z. Turskis, J. Antucheviciene, A. Zakarevicius. Optimization of Weighted Aggregated Sum Product Assessment // Electronics and Electrical Engineering. - Kaunas: Technologija, 2012.- No. 6(122). - P. 3-6. One of important parts of every computer-aided multiple criteria decision support system is selection of a proper MCDM (Multiple Criteria Decision Making) method. WSM (Weighted Sum Model) and WPM (Weighted Product Model) are analyzed in the current research. The aim of the research is to measure the accuracy of the latter methods and to propose a method to increase the ranking accuracy of alternatives. It is proposed to apply joint WASPAS (Weighted Aggregates Sum Product Assessment) method. Methodology for evaluation of accuracy, based on initial criteria values, is developed. Optimization of weighted aggregated function is suggested, that enables to reach the highest accuracy of measurement. An example of application of the proposed methodology is presented. Ill. 3, bibl. 15, tabl. 4 (in English; abstracts in English and Lithuanian).

引用

页码：3 / 6

页数：4

共 15 条

[1]

Antucheviciene J, 2011, INFORMATICA-LITHUAN, V22, P319

[2]

Balezentis A, 2011, ECON COMPUT ECON CYB, V45, P37

[3]

Brauers WKM, 2012, INFORMATICA-LITHUAN, V23, P1

[4] TEXT AND DATA MINING TECHNIQUES IN ASPECT OF KNOWLEDGE ACQUISITION FOR DECISION SUPPORT SYSTEM IN CONSTRUCTION INDUSTRY [J].