Main Problems and Tasks of Intellectualisation of Information Processing System
Mukhamedieva D. T1, Safarova L.U2
1Mukhamedieva D.T, Tashkent university of information technologies Uzbekistan.
2Safarova L.U Samarkand agricultural institute, Samarqand, Uzbekistan.
Manuscript received on 02 July 2019 | Revised Manuscript received on 16 July 2019 | Manuscript Published on 23 August 2019 | PP: 158-165 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I30320789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3032.0789S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Semistructured decision-making systems (SDMS) are an important class of intelligent systems (IS) in conditions of different types of indeterminacy and, fuzzy indeterminacy in particular. A dominating issue in projection of indistinct logical system is a selection of intelligent database, or rather a rational number of rules and effective values of their membership function. As a result of it the main problems and tasks of information processing system intellectualisation and their ways of solution are presented in this article.
Keywords: Information processing, Semistructured decision-making systems, intelligent systems, fuzzy sets
Scope of the Article: Fuzzy sets