Fuzzy case models for project management using a multi-ontology approach

The article identifies the features of innovative projects that should be taken into account when building models information processes in decision support systems (DSS) for project management. It is shown that, terms taking these features, methods forming knowledge form ontologies and use analysis procedures based on precedent seem to promising. limitations existing methods, including those involving formation a base their management, are revealed. Development trends representing within framework approaches substantiated. as follows: providing ability several independent different subject areas; differences analyzed creating conditions adaptation indicators external internal environments change. A DSS structure management proposed, which provides functional developed fuzzy logic algorithm adapting earlier rational decisions current situation. Software tools implementing proposed described, well results application managing develop an asynchronous electric motor. approach allows description situation linguistic form. At same time, contrast known variants ontological models, described deriving solutions characteristics situations related various areas. This you recommendations allocation resources implementation design work positive experience sizes.