Fuzzy Methods for Comparing Project Situations and Selecting Precedent Decisions

This paper characterizes project management task aspects substantiating the expediency of applying fuzzy methods for comparing project situations and selecting precedent decisions. It discusses methods for assessing the similarity of the fuzzy features of project situations, based on operations with fuzzy sets, pseudometric distances between fuzzy sets, and the fuzzy distance between fuzzy sets. The paper also describes approaches to comparing fuzzy project situations on the basis of aggregating the results of comparing individual features with the use of various convolutions or fuzzy inference algorithms, as well as by individual priority features. An example of selecting precedent project decisions relevant to project situations is given, where relative pseudometric distance between fuzzy sets is used to estimate the degree of similarity among the fuzzy features of project situations, and the modifiable Mamdani fuzzy inference algorithm is used for comparing fuzzy project situations and selecting precedent project decisions.