Selection of optimal aluminum alloy using TOPSIS method under fuzzy environment
| Autor: | Abhiman Debnath, Sujoy Chakraborty, Uttam Kumar Mandal, Pushparenu Bhattacharjee |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Statistics and Probability
0209 industrial biotechnology Mathematical optimization Variables Computer science business.industry media_common.quotation_subject General Engineering Automotive industry TOPSIS 02 engineering and technology Ideal solution Multiple-criteria decision analysis Fuzzy logic 020901 industrial engineering & automation Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Fuzzy number 020201 artificial intelligence & image processing business Selection (genetic algorithm) media_common |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. 32:871-876 |
| ISSN: | 1875-8967 1064-1246 |
| DOI: | 10.3233/jifs-161049 |
| Popis: | Selection of material plays an important role for any industry as an improper selection of material may lead to loss of lives, equipment and money. The present study aims to overcome this kind of problem by finding the best aluminum alloy for industries like aerospace and automotive which are seeks to made parts with this material because of its outstanding properties. A Multi Criteria Decision Making (MCDM) method known as TOPSIS (Technique of Order Preference by Similarity to the Ideal Solution) is utilized under fuzzy environment considering multiple qualitative and quantitative criterion values. A number of decision maker's opinion is considered with a Triangular fuzzy numbers for weighing the criteria. Best alternative is chosen based on the distance of alternatives from positive and negative ideal solution. It is observed that Al-5083-H112 is the best alternative. Sensitivity analysis is also done to determine how different values of an independent variable will impact a particular dependent variable under a given set of assumptions. |
| Databáze: | OpenAIRE |
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