Determination of Appropriate Strategies in the Field of Renewable Energies within Iranian Educational System and Prioritization of Them by Using Fuzzy Preference Programming (FPP) Technique release_uvpdsoq2iffihdtjrc6bg2j4ma

by سمیه عریان, جیران امیراصلانی

Published in Āmūzish-i Muḥīṭ-i Zīst va Tusi̒ah-i Pāydār by Payame Noor University.

2018   p37-52

Abstract

The present study mainly aims to determine appropriate strategies for performing relevant educational programs to promote the level of awareness among different people of society to replace non-renewable energy resources with clean and renewable energy resources as well as to prioritize these strategies for use in the educational system of Iran. This study is conducted in two stages. In the first stage, the most important policies and strategies regarding the application of renewable energies and education in this field were extracted. Then 80 strategies proportionateaccording to Iran's educational needs in this field were suggested. The most comprehensive of them were determined using the comments of 50 specialists through a questionnaire. Among these strategies, 40 strategies were selected for training renewable energies at schools (10 cases), Higher Education (10 cases), informal education (10 cases), and non-formal education (10 cases). In the second stage, for prioritizing the selected strategies, another questionnaire including pairwise comparison tables of these strategies was prepared based on the results of the experts' comments and data resulting from it was used to rank the strategies using fuzzy preference programming (FPP) method in MATLAB software. All fuzzy group decision-‌making matrices are suitably adapted for each of the four educational groups (γi> 0.3679). Prioritization of these 40 strategies for training renewable energies in the educational system of Iran is presented at the end of the paper in terms of formal education at schools and universities, informal and non-formal education.
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