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2009•International Conference on Software EngineeringRequires access

A new fuzzy topsis method for material handling system selection problems

Mehdi Amiri Aref, Nikbakhsh Javadian

Open publisher page 3 citations

Abstract

This paper presents a fuzzy multiple criteria group decision making (FMCGDM) problem with the Technique for Order Performance by Similarity ti Ideal Solution (TOPSIS) based on the concept of positive and negative ideal solution. Triangular fuzzy numbers (TEN) among decision making process is used to evaluate the weighted different alternatives versus criteria and a fuzzy group weight is made by different experts. Various decision makers' attitudes categorized into optimistic and pessimistic judgements are introduced. Eventually, a comparison between traditional fuzzy TOPSIS method and our new and simple fuzzy TOPSIS method and defuzzified TFN is also done. Different ranking for preferred material handling devices with our approach shows the efficiency of this one.

About this research paper

What this paper is about

This paper presents a fuzzy multiple criteria group decision making (FMCGDM) problem with the Technique for Order Performance by Similarity ti Ideal Solution (TOPSIS) based on the concept of positive and negative ideal solution. Triangular fuzzy numbers (TEN) among decision making process is used to evaluate the weighted different alternatives versus criteria and a fuzzy group weight is made by different experts. Various decision makers' attitudes categorized into optimistic and pessimistic judgements are introduced. Eventually, a comparison between traditional fuzzy TOPSIS method and our new and simple fuzzy TOPSIS method and defuzzified TFN is also done. Different ranking for preferred material handling devices with our approach shows the efficiency of this one.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper presents a fuzzy multiple criteria group decision making (FMCGDM) problem with the Technique for Order Performance by Similarity ti Ideal Solution (TOPSIS) based on the concept of positive and negative ideal solution. Triangular fuzzy numbers (TEN) among decision making process is used to evaluate the weighted different alternatives versus criteria and a fuzzy group weight is made by different experts. Various decision makers' attitudes categorized into optimistic and pessimistic judgements are introduced. Eventually, a comparison between traditional fuzzy TOPSIS method and our new and simple fuzzy TOPSIS method and defuzzified TFN is also done. Different ranking for preferred material handling devices with our approach shows the efficiency of this one.

Key concepts: TOPSIS, Ideal solution, Ranking (information retrieval), Fuzzy logic, Selection (genetic algorithm), Fuzzy number, Computer science, Mathematical optimization

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