Multi‐Criteria Decision Analysis

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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“…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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“…MCDM methods were overviewed in books by Hwang, Lin (1987), Roy (1996), Saaty (1996), Belton, Stewart (2002) Doumpos and Grigoroudis (2013), Ishizaka and Nemery (2013). Zavadskas (1987bZavadskas ( , 1991Zavadskas ( , 2000 authored books, in which MCDM methods were used to address construction problems.…”

Section: The Development Of Mcdm Methodsmentioning

confidence: 99%

Multi-Criteria Decision Making in Civil Engineering: Part I – A State-of-the-Art Survey

Zavadskas

Antuchevičienė

Kapliński

2016

Engineering Structures and Technologies

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“…At the last step, the relative weights for each matrix have been found and normalized. The AHP is considered a single synthesizing criterion approach (Ishizaka and Nemery 2013).…”

Section: Ahp Methods To Compute Weightsmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

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Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering different levels of precision. Each decision maker's judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results.

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Multi‐Criteria Decision Analysis

Cited by 943 publications

References 0 publications

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

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

Multi-Criteria Decision Making in Civil Engineering: Part I – A State-of-the-Art Survey

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

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