Fuzzy multi-attribute decision-making approach for the selection of software effort estimation models
by Ashu Bansal; Neeraj Gupta; Rakesh Garg
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 21, No. 1/2, 2022

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.

Online publication date: Wed, 23-Feb-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com