Software

An Approach to Evaluating the Software Quality Based on Intelligent Computation With Intuitionistic Fuzzy Information

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Executive Summary

The problem of evaluating the software quality with intuitionistic fuzzy information is the Multiple Attribute Group Decision Making (MAGDM) problems. In this paper, the authors investigate the Multiple Attribute Group Decision Making (MAGDM) problems for evaluating the software quality with intuitionistic fuzzy information. They utilize the Intuitionistic Fuzzy Weighted Average (IFWA) and Intuitionistic Fuzzy Hybrid Aggregation (IFHA) operators to aggregate and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function.

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