Interval type-2 fuzzy TOPSIS method for calibration supplier selection problem: a case study in an automotive company

Toklu, Merve Cengiz

doi:10.1007/s12517-018-3707-z

Cited by 13 publications

(4 citation statements)

References 21 publications

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“…Çalışmada ayrıca duyarlılık analizi uygulanarak parametrelerdeki değişimin sonucu nasıl değiştirdiği incelenmiştir. Toklu [9]'da tedarikçi seçimi problemini incelemiş, aralık değerli tip-2 bulanık TOPSIS yöntemini tork anahtar kalibrasyonu için tedarikçi seçimi probleminin çözümüne uygulamıştır. Kahraman vd.…”

Section: Yazin Taramasi (Literature Review)unclassified

Sezgisel bulanık çok uzmanlı & çok ölçütlü karar verme metodolojisi: sağlık sektöründe bir uygulama

Otay

2022

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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 Development of a multi expert multi-criteria intuitionistic fuzzy AHP & TOPSIS methodology  Transformation of intuitionistic fuzzy sets into interval-valued fuzzy sets  Application in a real life surgical robot selection problem, and comparison & sensitivity analysesIn recent years, the extensions of ordinary fuzzy sets have been studied by many researchers. Many extensions have been introduced over a 45 year period. The aim of the fuzzy set extensions is to let decision makers define membership, non-membership and hesitancy functions in a larger domain. In the literature, the relations between these extensions and transformations between fuzzy set extensions have not been discussed sufficiently. In Figure A, the structure of the proposed methodology is illustrated. Figure A. Structure of the proposed methodologyPurpose: In this study, it is aimed to contribute to the literature by analyzing the relationships and transformation processes between intuitionistic fuzzy sets and interval-valued fuzzy sets. This transformation was carried out using an integrated fuzzy AHP and TOPSIS methodology. Besides these, the literature review has showed that there is no study analyzing surgical robot selection problem with fuzzy MCDM methods. Thus, in this respect the study aims to be first in the literature. Theory and Methods:In the application section, the interval-valued intuitionistic fuzzy integrated AHP&TOPSIS methodology is applied to a real life surgery robot evaluation and selection problem. Herein, transformation operation between triangular intuitionistic fuzzy numbers and interval-valued triangular fuzzy numbers is presented. Results:The proposed integrated fuzzy MCDM methodology solved the real life surgical robot evaluation problem successfully. The ranking of the robots planned to be used in robotic knee surgeries and the obtained criterion weights were shared with the hospital and the presented have been found to be consistent to their expectations. The results were also compared with the ones of classical AHP&TOPSIS, type-2 AHP&TOPSIS and intuitionistic fuzzy AHP&TOPSIS methodologies. A sensitivity analysis was also performed and the findings have demonstrated that the proposed methodology provides robust and reliable results. Conclusion:The study introduced an integrated fuzzy AHP&TOPSIS methodology in which triangular intuitionistic fuzzy numbers were converted to interval-valued fuzzy sets without any data loss. The proposed fuzzy MCDM methodology was applied to a real life knee surgery robot selection problem. The observed results were found to be compatible with the hospital's expectations.

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Section: Yazin Taramasi (Literature Review)unclassified

Sezgisel bulanık çok uzmanlı & çok ölçütlü karar verme metodolojisi: sağlık sektöründe bir uygulama

Otay

2022

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

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“…MCDM techniques are very common in supplier evaluation and selection problems. Analytic Hierarchy Process (AHP) [7][8][9], Analytic Network Process (ANP) [10][11][12], and Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) [8,13,14] methods are frequently used. Other multi-criteria methods confronted on supplier evaluation and selection are Multi-Attributive Border Approximation Area Comparison (MABAC) [8], Weighted Aggregated Sum-Product Assessment (WASPAS) [8], Decision-making Trial and Evaluation Laboratory (DEMATEL) [12,15], Quality Function Deployment (QFD) [16], and ELECTRE-TRI [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Suppliers in the Perspective of Digital Transformation: A Spherical Fuzzy TOPSIS Approach

Aydın

Aktas

Kabak

2021

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

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There are great efforts on development of new technologies in different regions of the world. Thanks to the progress of science and technology, it is possible to see some news on several kind of developments every day. As a natural result of these developments, people want emerging technologies to be included in new products they will purchase. So, companies are faced with the challenge of development in their products continuously. Automotive industry can be considered among the industrial areas, which are being affected much by these emerging technologies and automotive companies need to adapt to the new technologies rapidly. As a result of this situation, suppliers of automotive manufacturers have to improve their processes. This study focuses on developing an analytic model for a decision problem of supplier evaluation in the automotive industry. Alternative suppliers are ranked by considering several factors related to digital transformation after a multi-criteria analysis. Four alternative suppliers are evaluated based on digital technologies by considering four criteria and ranked by a Spherical fuzzy extension of TOPSIS technique.

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“…Otay et al (2018) utilized the interval type-2 FAHP method to order slow-moving items in an ABC analysis. Cengiz Toklu (2018) proposed an approach to select the most appropriate calibration supplier using the interval type-2 fuzzy TOPSIS method for an automotive company. Baykaso glu and G€ olc€ uk (2017) focused on strategy selection problem combining the interval type-2 DEMATEL with interval type-2 TOPSIS.…”

Section: Literature Reviewmentioning

confidence: 99%

A hybrid approach for selecting sustainable suppliers and determining order allocation based on interval type-2 fuzzy sets

Çalık

2020

JEIM

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PurposeThis study aims to create a model for defining the best supplier for a company and allocating order that considers sustainability criteria beyond the traditional selection criteria.Design/methodology/approachIn this paper, sustainable supplier Selection and order allocation (SSS and OA) problem is managed based on a multiobjective linear programming (MOLP) model that incorporates sustainability dimensions. First, an interval type-2 fuzzy analytic hierarchy process (FAHP) method is applied for the main criteria and subcriteria to determine the weight of the selected criteria. Then, these values are used to convert the proposed MOLP model into a single-objective model.FindingsThe economic criterion (0.438) was the most important criterion for SSS in the agricultural machinery sector, followed by the social criterion (0.333) and the environmental criterion (0.229).Practical implicationsThe results show that the proposed framework can be utilized by the agricultural machinery industry for SSS and OA.Originality/valueThe proposed framework provides to develop an integrated model by interval type-2 fuzzy sets for SSS and OA, taking into account the relationships between qualitative and quantitative evaluation criteria with different priorities. The validity of the developed model is confirmed by a case study of the agricultural machinery industry in Turkey.

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Interval type-2 fuzzy TOPSIS method for calibration supplier selection problem: a case study in an automotive company

Cited by 13 publications

References 21 publications

Sezgisel bulanık çok uzmanlı & çok ölçütlü karar verme metodolojisi: sağlık sektöründe bir uygulama

Sezgisel bulanık çok uzmanlı & çok ölçütlü karar verme metodolojisi: sağlık sektöründe bir uygulama

Evaluation of Suppliers in the Perspective of Digital Transformation: A Spherical Fuzzy TOPSIS Approach

A hybrid approach for selecting sustainable suppliers and determining order allocation based on interval type-2 fuzzy sets

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