A hybrid multi-criteria decision modeling approach for the best biodiesel blend selection based on ANP-TOPSIS analysis

Sakthivel, G.; Ilangkumaran, M.; Gaikwad, Aditya

doi:10.1016/j.asej.2014.08.003

Cited by 92 publications

(30 citation statements)

References 50 publications

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“…The TOPSIS algorithm indicates the best alternative; however, as it is only a decision support tool, the final decision is always made by the decision maker. Apart from being a decision making support tool, TOPSIS is used for the assessment of products 15 or processes. 16 It also allows one to implement other than the strictly "greenness" criteria to the decision making or assessment procedure.…”

Section: Introductionmentioning

confidence: 99%

Environmental risk-based ranking of solvents using the combination of a multimedia model and multi-criteria decision analysis

2017

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Section: Introductionmentioning

confidence: 99%

Environmental risk-based ranking of solvents using the combination of a multimedia model and multi-criteria decision analysis

2017

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“…The pair-wise comparisons are made in terms of, how element A is more important than element B. It uses a ratio scale for each level of criteria, sub criteria, and alternatives, which allows the construction of relative weight matrices (Sakthivel et al, 2015). For example, for a given criterion in the first row, if alternative A is "Very Strongly Preferred" over alternative B, then a weight of 7 is entered.…”

Section: The Anp Methodsmentioning

confidence: 99%

Selection of the optimal tourism site using the ANP and fuzzy TOPSIS in the framework of Integrated Coastal Zone Management: A case of Qeshm Island

Morteza

Reza

Seddiq³

et al. 2016

Ocean & Coastal Management

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“…In other words, it requires the decision or problem to be well structured. The TOPSIS algorithm steps can be classified as follows [9][10][11]:…”

Section: Topsis Methodsmentioning

confidence: 99%

TOPSIS Multi-Criteria Decision Modeling Approach for Biolubricant Selection for Two-Stroke Petrol Engines

et al. 2015

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Exhaust pollutants from two-stroke petrol engines are a problem for the environment. Biolubricants are a new generation of renewable and eco-friendly vegetable-based lubricants, which have attracted a lot of attention in recent years. In this paper, the applicability of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to support the process of building the scoring system for selecting an appropriate two-stroke lubricant has been analyzed. For this purpose, biolubricants (TMP-triesters) based on castor oil, palm oil, and waste cooking oil were produced and then utilized in a 200 cc two-stroke gasoline engine to investigate their effects on its performance and exhaust emissions. The results obtained from the use of the entropy technique in the TOPSIS algorithm showed that palm oil-based lubricant took up the greatest distance from the Negative Ideal Solution (NIS) and was selected as the most optimal lubricant for these types of engines.

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A hybrid multi-criteria decision modeling approach for the best biodiesel blend selection based on ANP-TOPSIS analysis

Cited by 92 publications

References 50 publications

Environmental risk-based ranking of solvents using the combination of a multimedia model and multi-criteria decision analysis

Environmental risk-based ranking of solvents using the combination of a multimedia model and multi-criteria decision analysis

Selection of the optimal tourism site using the ANP and fuzzy TOPSIS in the framework of Integrated Coastal Zone Management: A case of Qeshm Island

TOPSIS Multi-Criteria Decision Modeling Approach for Biolubricant Selection for Two-Stroke Petrol Engines

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