On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A heuristic for software evaluation and selection
Software—Practice & Experience
Remarks on the analytic hierarchy process
Management Science
Reply to “remarks on the analytic hierarchy process” by J. S. Dyer
Management Science
Prioritizing software development productivity factors using the analytic hierarchy process
Journal of Systems and Software
System acquisition based on software product assessment
Proceedings of the 18th international conference on Software engineering
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Usability Evaluation: Science of Trade-Offs
IEEE Software
Case Studies for Method and Tool Evaluation
IEEE Software
Acquiring COTS Software Selection Requirements
IEEE Software
An innovative policy-based cross certification methodology for public key infrastructures
EuroPKI'05 Proceedings of the Second European conference on Public Key Infrastructure
A fuzzy classifier approach to estimating software quality
Information Sciences: an International Journal
Hi-index | 0.00 |
The correct choice of software tools and methods is a critical success factor to reach and maintain market leadership. A mature approach to estimate the impact and risk of technology adoption is required. This paper underlines the need for dealing with uncertainty to manage correctly the risk of decision-making and proposes a method for evaluating software engineering methods and tools. The method, named Software Engineering Fuzzy Evaluation Method (SEFEM) is centred on a new class of fuzzy aggregators named Ordered Fuzzy Number Weighted Averaging (OFNWA).