Contractor prequalification model using fuzzy sets

By Edyta Plebankiewicz. 2010

120 citations recorded by the source corpus.

Abstract Contractor prequalification makes it possible to admit for tendering only competent contractors. The undertaken decisions demand taking into consideration many criteria, including among others, experience and financial standing of the candidates. It is often difficult to be quantified. The objectives of the construction owner in a given project are also meaningful. All these factors cause difficulties in working out a mathematical prequalification model. In the paper a model based on fuzzy sets theory is proposed. It takes into consideration both different criteria, objectives and evaluations of numerous decision ‐ makers. To illustrate the model operation a simple numerical example is presented.

Subfields: Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e5adaefa5acd26f4e4df8352887b77f529bc5d61

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In Control and Systems Engineering

  1. Edmundas Kazimieras Zavadskas
  2. Zenonas Turskis
  3. Jolanta Tamosaitiene
  4. Abbas Mardani
  5. Norhayati Zakuan
  6. Kannan Govindan
  7. Martin Brandt Jepsen
  8. Ahmad Jusoh

In Management Science and Operations Research

  1. Zenonas Turskis
  2. Edmundas Kazimieras Zavadskas
  3. Jolanta Tamosaitiene
  4. Abbas Mardani
  5. Ahmad Jusoh
  6. Tomas Balezentis
  7. Alvydas Balezentis
  8. Norhayati Zakuan

Citations in the corpus