MULTI-AGENT SYSTEMS DECISION SUPPORT MODEL OPEN INNOVATION

  • Владимир Аркадьевич Мыльников Военно-космическая академия имени А.Ф. Можайского
  • Светлана Юрьевна Абалдова ФГБОУ ВО «Ивановский государственный химико-технологический университет»
  • Татьяна Николаевна Елина Военно-космическая академия имени А.Ф. Можайского
Keywords: model of open innovation, neuro-fuzzy information systems, multiagention system, ontology, process automation, investment activity

Abstract

Implementation of the model of open innovation requires the development of mechanisms for information-retrieval and delay the introduction of R & D results. Market innovation is complex, open, di-varying dynamical systems. Self-organization of the market is complicated by high inertia, lack of or incomplete information required. We propose a problem solving processes the search and implementation of scientific and technical research with the help of multiagention of information technology. The model of R & D evaluation using methods obe-United ontology and neuro-fuzzy inference systems, allowing to accumulate and is-to use the knowledge about existing market needs.

Published
2016-09-30
Issue
No 3(29) (2016)
Section
MARKETING AND BUSINESS