Ranking and defuzzification methods based on area compensation
Fuzzy Sets and Systems
Computers and Operations Research
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
Fuzzy Logic for Business, Finance, and Management
Fuzzy Logic for Business, Finance, and Management
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
Quality management metrics for software development
Information and Management
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Information and Management
Software field failure rate prediction before software deployment
Journal of Systems and Software
Evaluation of knowledge management tools using AHP
Expert Systems with Applications: An International Journal
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Expert Systems with Applications: An International Journal
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Fuzzy Optimization and Decision Making
Expert Systems with Applications: An International Journal
Multicriteria decision making with 2-dimension linguistic aggregation techniques
International Journal of Intelligent Systems
Approximate TOPSIS for vessel selection under uncertain environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Extension of the VIKOR method to dynamic intuitionistic fuzzy multiple attribute decision making
Computers & Mathematics with Applications
A Set of Criteria for Selection of Enterprise Resource Planning ERP
International Journal of Enterprise Information Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A multi-risks group evaluation method for the informatization project under linguistic environment
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Software development is an inherently uncertain activity. To deal with the uncertainty and vagueness from humans' subjective perception and experience in decision process, this paper presents an evaluation model based on the fuzzy multi-criteria decision-making (MCDM) method for measuring the performance of software development projects. In an MCDM problem, a decision maker (DM) has to choose the best alternative that satisfies the evaluation criteria among a set of candidate solutions. It is generally hard to find an alternative that meets all the criteria simultaneously, so a good compromise solution is preferred. This problem may become more complex when multiple DMs are involved, each having not a common perception on the alternatives. Recently, a compromise ranking method (known as the VIKOR method) has been proposed to identify such compromise solutions, by providing a maximum group utility for the majority and a minimum of an individual regret for the opponent. In its actual setting, the method treats exact values for the assessment of the alternatives, which can be quite restrictive with unquantifiable criteria. This will be true especially if the evaluation is made by means of linguistic terms. For this reason we extend the VIKOR method so as to process such data and to provide a more comprehensive evaluation in a fuzzy environment. To demonstrate the potential of the methodology, the proposed extension is used for measuring the performance of enterprise resource planning (ERP) software products.