Development of Fuzzy Multi-Criteria Analysis Method for Tender Cleaning Service Selection

This paper present a development of fuzzy set theory for tender cleaning
service selection. It aims to evaluate the tender based on several criterions and provide
the information to Tender Owner for selecting the top bidder. Tender evaluation is an
action to determine the potential bidder that provide the most benefits for the Tender
Board. The subjective assessment process is model using fuzzy number and linguistic
terms. The model is solved using algorithms which integrates the decision maker’s
decision for assessments on criteria weight with the performance ratings. Next, the
concept of degree optimality of each bidder respect to each main criterion is used to
convert weighted fuzzy performance matrix into a fuzzy singleton matrix. Top two
bidder will be awarded the tender based on the ranking of bidders, respective to the
evaluation of the corresponding fuzzy utilities. The application of this paper will not
only benefited Universiti Teknologi PETRONAS (UTP), but also benefited private
sector, oil and gas industry and government agency.