Haar FCM with DEMATEL Technique to Analyze the Solid Waste Management

Felix, A.; Dash, Saroj Kumar

doi:10.1007/978-981-15-7241-8_28

Cited by 13 publications

(3 citation statements)

References 11 publications

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“…[16] proposed the Haar ranking for heptagonal fuzzy number in solving the fuzzy assignment problem in agriculture to determine the minimum cost for organic fertilizers applied in the field. Felix and Dash [12] used Haar ranking in designing Fuzzy DEMATEL method to study the solid waste management problem.…”

Section: Literature Reviewmentioning

confidence: 99%

Haar and Yager’s Ranking Methods for Intuitionistic Dense Fuzzy Set

Swethaa

Afelix

2022

J. Phys.: Conf. Ser.

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The world is full of uncertainties. To deal with the uncertain nature mathematically, fuzzy set came into being. Fuzzy set was then extended to intuitionistic fuzzy set where the set itself contains its membership, non-membership and its hesitancy. When the entire components converge at a crisp numberin a set as n→ ∞, dense fuzzy set was identified. Thus, by introducing dense fuzzy set into the field of intuitionistic set theory, intuitionistic dense fuzzy set was introduced. In this present study, an effort has been made in ranking an intuitionistic dense fuzzy set. Ranking plays a vital role in fuzzy decision making problems and in numerous fuzzy applications. Ranking a fuzzy tuples is not as easy as an ascending order ranking. There are numerous methods for ranking a fuzzy number. But in all the cases it is found that, they end up in giving unsatisfactory results due to the complexity of the problem in one way or the other. Thus, this paper paves a way in finding a ranking method for the intuitionistic dense fuzzy set by means of Haar ranking and Yager’s ranking. Numerical examples are given and Cauchy’s sequence has been utilized for better illustration.

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Section: Literature Reviewmentioning

confidence: 99%

Haar and Yager’s Ranking Methods for Intuitionistic Dense Fuzzy Set

Swethaa

Afelix

2022

J. Phys.: Conf. Ser.

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“…Among the decision making models, MCDM is one of the most widely used decision methodologies involving both quantitative and qualitative factors in which the ranking of the alternatives are found in relation with various criteria. This technique includes several well-known methods like TOPSIS, 5 VIKOR, 6 AHP, 7,8 COPRAS, 9 Entropy, 10 WASPAS, 11 DEMATEL, [12][13][14] MAUT, 15 etc. Thus, MCDM methods were used in the fuzzy field to select the appropriate robot for a particular application.…”

Section: Introductionmentioning

confidence: 99%

An integrated intuitionistic dense fuzzy Entropy-COPRAS-WASPAS approach for manufacturing robot selection

Sampathkumar

Felix

Kaabar

et al. 2023

Advances in Mechanical Engineering

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Manufacturing robots are used for industrial purposes. Robots used for manufacturing purpose have the power to create products from raw materials and are capable of operating endlessly even in lights-out situations for continuous production. Manufacturing robots can be used in applications like arc welding, spot welding, materials handling, machine tending, painting, machine cutting and so on. Selecting a robot for a given application is complex. However, robot selection is used in selecting a suitable robot for the preferred output with specific application ability. In recent years, many authors used multi-criteria decision-making methods to select a robot that meets the need. This study presents a hybrid model by integrating complex proportional assessment (COPRAS) with the weighted aggregates sum product assessment (WASPAS) methods in intuitionistic dense fuzzy set to select a manufacturing robot for a particular application. Intuitionistic dense fuzzy entropy is used in calculating the weights for the criteria and intuitionistic dense fuzzy COPRAS and WASPAS are used in ranking the best alternatives where in the optimum types of robots are obtained. Here, intuitionistic dense fuzzy sets are used as it is capable of dealing with the intangible factors while selecting a robot. On the basis of the manufacturing robot selection, two comparisons are given. First, the results are compared with various [Formula: see text] values between 0 and 1 and second the results are compared with the fuzzy set, intuitionistic fuzzy set and the dense fuzzy set to show the effectiveness of the proposed methodology with the intuitionistic dense fuzzy set.

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“… [20] introduced fuzzy VIKOR with an interval-valued intuitionistic hesitant fuzzy set. Felix [21] designed the DEMATEL model for solid waste management. Deva and Felix [22] designed the bipolar model under DEMATEL method to represent in both positive and negative perspectives.…”

Section: Introductionmentioning

confidence: 99%