Optimization of Weighted Aggregated Sum Product Assessment

By Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antucheviciene, Algimantas Zakarevicius. 2012

1,144 citations recorded by the source corpus.

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). DOI: http://dx.doi.org/10.5755/j01.eee.122.6.1810

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/b296576a8a607d713e3fd6689c79f1a01b9dfbd9

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In Management Science and Operations Research

  1. Abbas Mardani
  2. Edmundas Kazimieras Zavadskas
  3. Norhayati Zakuan
  4. Somayeh Soheilirad
  5. M. Saman
  6. Mehrbakhsh Nilashi
  7. Othman bin Ibrahim
  8. Nanthakumar Loganathan

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