Selection by TOPSIS for surveyor of candidates in organisations

The process of selecting the most suitable new surveyor among many candidates involves requirements in a number of key areas. Various quantitative methods have been proposed as an aid to make decision on the selection of a surveyor within candidates. The selection criteria also involve the required remuneration by candidates. Decision makers need to consider criteria-based specification, comparison and selection of applicants. This paper demonstrates that applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method of simple weighted addition approach for processing the decision making is one of the best methods for selecting a suitable candidate from Khouja and Deng et al. The approach is based on a two-step procedure. Firstly, a fuzzy Multiple Criteria Decision-Making (MCDM) technique is applied to rank the applicants according to the criteria of requirements. In particular, the TOPSIS is used to rank the applicants according to five different criteria. Secondly, the TOPSIS ranking analysis is applied with reference to a compliant evaluation indicator proposed in the literature. The integration of the criteria indicator with the TOPSIS ranking makes it possible to obtain a graphical output that shows the comparison of each applicant's compliance with the different applicants analysed in an easy and intuitive manner. The TOPSIS is a technique developed by Hwang and Yoon, one of the best-known and most widely used method of decision making. It compares some of the current multicriteria with particular emphasis on compliance measurement for helping to recognise and identify the compliance of applicant selection. Finally, this study is conducted using an illustrative example, which is provided by the ABC Register of Shipping and applies the proposed method to select the most suitable surveyor among five candidates in February 2005. The empirical result shows that compliance evaluation for selecting surveyor within candidates can be more comprehensive and useful for consideration by decision makers.