English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The energy needs of the world are increasing from day to day. The largest sources of energy currently used are fossil fuels. Non-renewable energy sources threaten the world as a result of many problems such as air, water and environmental pollution. The selection of energy sources is crucial for improving of countries. Different criteria must be evaluated simultaneously to select between renewable energy sources. In this study, a hybrid approach involving Fuzzy AHP and Fuzzy TOPSIS is suggested to select renewable energy sources. Proposed approach is presented with a case study for empirical evidence. In the case study, alternative energy sources were evaluated under four main criteria: (1) Technical, (2) Economical, (3) Environmental, (4) Social and Political. As a result of the 2-stage evaluation method including multi-criteria decision making techniques, wind energy was determined as the most suitable alternative.

A Fuzzy Hybrid Decision Model for Renewable Energy Sources Selection