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Kakatunova T.

Dr. Sci. (Econ.), Professor, Information Technologies in Economics and Management Department, Branch of the National Research University "MPEI" in Smolensk
Smolensk, Russia

A three-level fuzzy cognitive model for region innovation development analysis

The necessity of the use of cognitive maps for the simulation of innovative development of the region is proved. The main innovation of modeling is in fuzzy cognitive maps. New kind of fuzzy cognitive maps incorporating uncertainty and variability of system performance are elaborated.

Analysis of short unstructured documents using fuzzy significance scales and special procedures for economic information integration

The article proposes a new approach to the automatic analysis of short messages arriving at Internet portals and e-mails of public authorities. The developed model allows to classify short unstructured text documents in a lack of statistical information and a low degree of thematic rubric intersection. The input data for the algorithm for constructing the model is the set of rubrics and the training sample. Its result is fuzzy scales of significant words in thesaurus of the rubrics, which ensures the correct presentation of the document characteristics and the operation of the classification (rubrication) algorithm.

Algorithms and soft for adapting the knowledge base of project management information systems

The effectiveness of design solutions largely depends on the promptness of processing a large amount of data from various sources, which determines the feasibility of using information decision support systems (IDSS) in the field of project management. The peculiarities of information processes in project management greatly complicate or even make it impossible to implement in practice methods for constructing analytical, as well as probabilistic and statistical dependencies between the characteristics of the modeled project management system and the indicators of its internal and external environment. In this regard, as an algorithmic support for IDSS for project management, it is promising to use precedent methods for analyzing information based on knowledge about similar situations previously observed in the practice of project management, and representing knowledge in the form of ontologies. Analysis of practical situations in the field of project management makes it possible to substantiate the expediency of organizing a monitoring procedure for the IDSS knowledge base, based on the results of which decisions on its adaptation are made. The article proposes the main ways of this adaptation: changing the structure and basic elements (first of all, concepts) of ontologies; clarification of the structure of the description of current situations and, therefore, precedents. The developed algorithm for monitoring the IDSS knowledge base on project management for the analysis and identification of typical situations of the feasibility of changing it is described. The algorithm is distinguished by the possibility of developing recommendations on the modification of ontologies based on a fuzzy classification of search results and using precedents relevant to current situations. A procedure is proposed for changing the structure of the description of precedents, taking into account the results of assessing the indices of the fuzzy correspondence of the characteristics of the existing precedents to the characteristics of the project being implemented. A description of a computer program that implements the proposed algorithm and its components, as well as the results of its application are given. Read more...