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Combination of AHP-PROMETHEE and TOPSIS for selecting the best Demand Side Management (DSM) options

Mokhtar, M. R. and Abdullah, M. P. and Hassan, M. Y. and Hussin, F. (2016) Combination of AHP-PROMETHEE and TOPSIS for selecting the best Demand Side Management (DSM) options. In: IEEE Student Conference on Research and Development, SCOReD 2015, 13 - 14 Dec 2015, Kuala Lumpur, Malaysia.

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Abstract

This paper presents combination of two multi criteria decision making (MCDM) for analyzing Demand Side Management (DSM) options. The solution of selecting the best DSM options contains of weighting the criteria and ranking the options as well. A method known as Analytical Hierarchy Process (AHP) is used to weighting the criteria and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and also Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) were used to rank the DSM options. Combination of AHP with PROMETHEE (AHPPROMETHEE) and AHP with TOPSIS (AHP-TOPSIS) have been applied in the case study where seven DSM options to be evaluated according to six criteria. The results shown two sets of ranking order where both approaches shown DSM1 is the most cost effective options while DSM5 is the least cost effective option. However, there are slightly different in these two ranking order between second priority and third priority because each MCDM method provide different preference information process. In addition, AHP-TOPSIS has advantage over AHP-PROMETHEE where it does not require any pairwise comparison to be completed in ranking process.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Analytical Hierarchy Process, Demand Side Management, Multi Criteria Decision Analysis, Preference Ranking Organization Method for Enrichment Evaluation, Technique for Order Preference by Similarity to Ideal Solution
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:73324
Deposited By: Mohd Zulaihi Zainudin
Deposited On:20 Nov 2017 08:42
Last Modified:20 Nov 2017 08:42

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