On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration
Fuzzy Sets and Systems
Cost-justifying usability
Software cost estimation with fuzzy models
ACM SIGAPP Applied Computing Review
Usability Engineering
Software Engineering Economics
Software Engineering Economics
Aggregation operators: properties, classes and construction methods
Aggregation operators
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The whole software industry has an awful footpath for delivering software on-time and on-budget. Probably, one reason is coming from not deal with the imperfection of information when they use a lot of human process. In this paper, we propose the use of fuzzy measures in contrast with crisp measures of traditional models and, therefore, apply of appropriate aggregators. Traditional models of software cost estimation are constructed from project databases and they describe cost drivers in terms of linguistic estimations using vague terms like “low” or “high”, and such expressions are also used in obtaining actual predictions. But cost drivers are in many cases abstract concepts that are better estimated by breaking them down in a number of second-level aspects. The method proposed is based both, on a concrete study of the use of linguistic variable human categorizations and, on level aspects that are defined by layer and are easy to raise using appropriate aggregators. Moreover, the proposed scheme can have different planes according to the model morphology.