A New Method For Modeling System Dynamics By Fuzzy Logic Modeling Of Research And Development In The National System Of Innovation | Zendy

Hassan Youssefi | Zendy; Vahid Saeid Nahaei | Zendy; Javad Nematian | Zendy

Open Access

A New Method For Modeling System Dynamics By Fuzzy Logic Modeling Of Research And Development In The National System Of Innovation

Author(s) -

Hassan Youssefi,

Vahid Saeid Nahaei,

Javad Nematian

Publication year - 2011

Publication title -

journal of mathematics and computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.218

H-Index - 5

ISSN - 2008-949X

DOI - 10.22436/jmcs.002.01.10

Subject(s) - fuzzy logic , system dynamics , development (topology) , computer science , systems modeling , dynamics (music) , management science , logic model , systems engineering , industrial engineering , artificial intelligence , engineering , mathematics , software engineering , sociology , social science , mathematical analysis , pedagogy

System Dynamics (SD) is an effective method for studying dynamic conditions and changes in complex systems. It has been used in domain of social, economic and human activities which deal with vague and inaccurate variables. In this paper, a new dynamic model of real world systems is designed based on the concept of system dynamic approach. Then relations among the variables in the model are defined as fuzzy if-then rules by using fuzzy logic method. For analyzing the model accurately and avoiding the extent of ambiguities, Fuzzy Inference System (FIS) will be designed. For this purpose, cycle of creation and absorption of knowledge in a National Innovation System has been analyzed via SD methodology and FIS results.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research