Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Optimisation and decision
Combining fuzzy AHP with MDS in identifying the preference similarity of alternatives
Applied Soft Computing
Information Sciences: an International Journal
Using fuzzy MCDM to select partners of strategic alliances for liner shipping
Information Sciences: an International Journal
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment
Mathematical and Computer Modelling: An International Journal
Combining grey relation and TOPSIS concepts for selecting an expatriate host country
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An outranking method for multi-criteria decision making with duplex linguistic information
Fuzzy Sets and Systems
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Linguistic multi-criteria decision making for energy and environmental corporate policy
Information Sciences: an International Journal
Hi-index | 12.06 |
Appraising the Renewable Energy Sources (RES) options' contribution to Sustainable Development (SD) is a complex task, considering the different aspects of SD the imprecision and uncertainty of the related information as well as the qualitative aspects embodied, that cannot be represented by numerical values. The objective of the paper is to show how energy policy objectives towards SD and RES options are related and assessed using linguistic variables. The presented method extends the numerical multicriteria method TOPSIS for processing linguistic information, eliminating in parallel the loss of information caused by the approximation procedures and the ambiguity of the fuzzy ranking method's selection. Moreover, the application of the method's computerized software to the RES interventions proposed in the Hellenic National Action Plan for Greenhouse Gases is presented and discussed.