Modeling renewable energy usage with hesitant Fuzzy cognitive map


Coban V. , Onar S. C.

COMPLEX & INTELLIGENT SYSTEMS, vol.3, no.3, pp.155-166, 2017 (Journal Indexed in ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 3 Issue: 3
  • Publication Date: 2017
  • Doi Number: 10.1007/s40747-017-0043-y
  • Title of Journal : COMPLEX & INTELLIGENT SYSTEMS
  • Page Numbers: pp.155-166

Abstract

Renewable energy sources (solar, wind, tidal, etc.), which are unlimited and have a fair distribution in the world, are an alternative to the depleting fossil fuels (coil, petroleum, natural gas, etc.). It is necessary to identify the right technologies and methods to make more effective use of renewable energy sources including uncertainty and irregularity in resource creation. In this study, dynamic environmental factors affecting the production of solar and wind energy are defined and the relations among them are linguistically expressed by the experts. These linguistic relationships among factors and their initial states are assessed by new developed hesitant linguistic cognitive map method that is an extension of hesitant fuzzy sets and fuzzy cognitive map. Relational development between factors was observed by simulating the model according to the initial condition of the factors. Thus, the model helps investors and governments to direct their solar and wind energy investment decisions.