Identification of Factors Affecting Bid No Bid Decision for Construction Projects in Addis Ababa and Developing Decision Model Using Fuzzy Rule -Based System
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Date
2021-07
Authors
Meron, Wolde
Journal Title
Journal ISSN
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Publisher
Addis Ababa University
Abstract
The main way of acquiring a job for a construction company is through
competitive bid. Most of the time, bid invitations float for a short period of time and are
seasonal. This activity is critical as it is done frequently, quickly, and intuitively. For a
construction company, the decision to participate in a bid has to be done wisely. This
decision is influenced by different factors and it varies with different background.
In related to this, current research has been done to study the factors affecting bid
decision as well as develop model. The purpose of this research paper was to identify
factors and examine which of these factors had a relationship with the decision to bid or
not to bid. The research results show that prequalification requirements have a significant
relation with the decision to not bid or bid and the other factors include turn over
requirements, ability to do the job, project tie with company future , future projects,
overall economy (availability of work), past experience in managing similar projects and
market conditions (stability of material prices).
The decision support model was developed using multi-variable regression and
the Fuzzy Rule-Based (FRB) System. For the FRB model, the C-means clustering
technique is applied for generating membership function and rule base.
The Data driven fuzzy rule base system model has been selected as the Mamdani
or Linear Sugeno type having 38 rules, 14 inputs and 1 output structure and showed an R2
value of 85. Multiple linear regressions resulted in having a 3 variable model using a
stepwise approach with an R2 value of 69and was a good fit.
It has been established that for c
Description
Keywords
Bid no bid decision, Multiple linear regression, Data driven fuzzy rule-based systems