Linguistic Models of Information Representation in Project Management Tasks
Abstract
The article presents an algorithm for processing heterogeneous information using the example of selecting the most preferable project for implementation. Expert information about projects is specified in the form of individual matrices of preference relations. A distinctive feature of the approach is that the elements of these matrices are formed in different scales. The idea of the algorithm for processing such information lies in the transition from numerical, interval and linguistic information to linguistic scales with two-component terms. The use of two-component terms implies a transition to a universal linguistic scale, where the first component is a term of the universal scale, and the second component reflects the proximity of the original term to the term of the universal scale. The article presents basic operations on two-component terms, procedures for the transition from different types of information (numerical, interval, linguistic) to two-component terms are proposed. Special aggregation operations are used to construct a group preference relation. Based on the group preference relation, generalized project assessments are formed, on the basis of which the decision-making problem is solved. The calculation of generalized estimates is based on the idea of the "dominance" of an object over the "fuzzy majority" of other objects. An illustrative example is given that demonstrates the effectiveness of the proposed approach to processing heterogeneous information
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