A NEW FUZZY ASSESSMENT BASED ON INTERVAL VALUE TO EVALUATE THE AGGREGATIVE RISK RATE IN SOFTWARE DEVELOPMENT

摘要

In this study, we propose the fuzzy sense of interval value [m_(ij) - Δ_(ij1), m_(ij) + Δ_(ij2)] instead of the single value m_(ij) applied on assessment of aggregated risk rate. The proposed fuzzy assessment method on the risk rate analysis in software development can really reflect the interviewee's incomplete and uncertain thought. The results show that the proposed method provides a more accurate measurement of uncertainty than the existing ones to reduce the degree of subjectivity of the evaluators.