Title: Fuzzy multi-attribute decision-making approach for the selection of software effort estimation models
Authors: Ashu Bansal; Neeraj Gupta; Rakesh Garg
Addresses: Department of Computer Science and Engineering, K.R. Mangalam University, Gurugram, Haryana, India ' Department of Computer Science and Engineering, K.R. Mangalam University, Gurugram, Haryana, India ' Department of Computer Science and Engineering, Amity University, Uttar Pradesh, India
Abstract: Evaluation and selection of the several alternatives with respect to numerous contradictory decision parameters is highly defined to crack many problems. Multi-attribute decision making (MADM) is highly used for solving many decision-making problems in almost all areas of engineering and management. Numerous MADM methods have been established by researchers for resolving such problems in a precise way. The distance estimation for all alternatives from an optimal/ideal point is the common idea that is implemented in many of the methods. To deal with the ambiguity that may occur in this decision-making course, fuzzy set theory (FST) is widely used. In this research, the existing distance-based approach (DBA) is extended first time with interval type-II fuzzy sets. This extended approach, i.e., interval type-II fuzzy distance-based method (ITFDBM) is further implemented for a very challenging problem, i.e., selection and ranking of software effort estimation models. The results obtained from this study depict that ITFDBM is highly efficient and stable to solve such complex MADM problems.
Keywords: multi-attribute decision making; interval type-2 fuzzy sets; interval type-II fuzzy distance-based method; IFTDBM; software effort estimation model.
International Journal of Advanced Intelligence Paradigms, 2022 Vol.21 No.1/2, pp.174 - 188
Received: 04 Jan 2019
Accepted: 22 May 2019
Published online: 23 Feb 2022 *