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Evaluation of quality assurance in contractor contracts by multi-attribute decision-making methods

Author

Listed:
  • Eva Trinkūnienė
  • Valentinas Podvezko
  • Edmundas Kazimieras Zavadskas
  • Izolda Jokšienė
  • Irina Vinogradova
  • Vaidotas Trinkūnas

Abstract

The goal of this paper is to compare quality assurance in different contractor contracts by means of multi-attribute decision-making (MADM) and to select the best option. For this investigation, the authors have developed the complex of quality evaluation criteria. During experimental evaluation, the significance of criteria was determined and the expert evaluation of template construction contracts was performed. The complex comparison of contractor contracts was carried out by means of the following MADM methods: Simple Additive Weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Complex Proportional Assessment (COPRAS) as well as the new Evaluation Based on Distance from Average Solution (EDAS). MADM. method. To determine the weights of criteria, with due consideration of uncertainty of expert evaluation, the Fuzzy Analytic Hierarchy Process (FAHP) method was applied. Evaluation of the data structure was performed by methods for the determination of objective weights: an entropy method and new criteria impact loss (CILOS) and integrated determination of objective criteria weights (IDOCRIW) methods. Expert subjective and objective weights were combined into aggregate weights. Based on the investigation performed, the authors make conclusions regarding possibilities for improving quality assurance in contractor contracts.

Suggested Citation

  • Eva Trinkūnienė & Valentinas Podvezko & Edmundas Kazimieras Zavadskas & Izolda Jokšienė & Irina Vinogradova & Vaidotas Trinkūnas, 2017. "Evaluation of quality assurance in contractor contracts by multi-attribute decision-making methods," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 30(1), pages 1152-1180, January.
    • Handle: RePEc:taf:reroxx:v:30:y:2017:i:1:p:1152-1180
    DOI: 10.1080/1331677X.2017.1325616
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    Cited by:

    1. Irina Vinogradova-Zinkevič, 2023. "Comparative Sensitivity Analysis of Some Fuzzy AHP Methods," Mathematics, MDPI, vol. 11(24), pages 1-41, December.

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