Open AccessProject portfolio selection of banking services using COPRAS and Fuzzy-TOPSIS
Author(s) -
Christopher Osita Anyaeche,
Desmond Eseoghene Ighravwe,
T.A. Asokeji
Publication year - 2017
Publication title -
journal of project management
Language(s) - English
Resource type - Journals
eISSN - 2371-8374
pISSN - 2371-8366
DOI - 10.5267/j.jpm.2017.6.004
Subject(s) - topsis , portfolio , selection (genetic algorithm) , business , project portfolio management , fuzzy logic , computer science , operations research , finance , mathematics , economics , project management , artificial intelligence , management
Portfolio selection is a business process which has helped organisations identify an area of com-petitive advantage and it is a major concern to industrial players in the banking sectors. In order to enhance bank portfolio selection, cost, profitability, time and location are important parameters that decision-makers often consider. This study implements a fuzzy-TOPSIS (Technique for Or-der Preference by Similarity to Ideal Solution) framework to evaluate three potential portfolios (automated teller machine gallery, quick service point and branch) for a bank using the infor-mation from three decision-makers. An illustrative example of real bank information is used to demonstrate the proposed framework applicability. The complex proportional assessment of al-ternatives (COPRAS) method is also used as an evaluation technique and the results are com-pared, which yields that the results from the ranking order of fuzzy-TOPSIS and COPRAS were different. However, there is a consistency between the aggregation of intuition-based, fuzzy-TOPSIS and COPRAS ranks and fuzzy-TOPSIS ranking results. The presented framework is an easy-to-apply tool that improves portfolio selection decision in the banking system