Contractor prequalification model using fuzzy sets

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.

Santrauka

Išankstinis rangovu kvalifikacijos vertinimas leidžia dalyvauti konkurse tik kompetentingiems rangovams. Priimant pradini sprendima, reikia atsižvelgti i daugeli kriteriju, tarp ju i kandidatu patirti ir ju finansine padeti. Šiuos kriterijus pa‐prastai sunku ivertinti kiekybine išraiška. Taip pat svarbūs ir statytojo tikslai nagrinejamame projekte. Šie išvardyti veik‐sniai sukelia sunkumu, rengiant matematini išankstinio rangovu vertinimo modeli. Straipsnyje pasiūlytas neapibrežtuju ai‐biu teorija pagristas modelis. Jis apima skirtingus kriterijus, tikslus ir sprendimus priimančiu asmenu gausius vertinimus. Pateiktas nesudetingas skaičiavimo pavyzdys rodo pasiūlyto modelio taikyma.

Keywords:

• contractor
• prequalification
• fuzzy sets

Reikšminiai žodžiai::

• rangovas
• išankstinis kvalifikacijos vertinimas
• neapibrežtosios aibes