Consideration of reciprocal judgments through Decomposed Fuzzy Analytical Hierarchy Process: A case study in the pharmaceutical industry

Çebı, Selçuk; Gündoğdu, Fatma Kutlu; Kahraman, Cengiz

doi:10.1016/j.asoc.2023.110000

Cited by 24 publications

(10 citation statements)

References 57 publications

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“…The study is important for combining 3PL with different approaches. Cebi et al (2023) has applied the Decomposed Fuzzy Analytic Hierarchy Process (DF-AHP) in the study. The study is conducted for the pharmaceutical industry.…”

Section: Literature Reviewsmentioning

confidence: 99%

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

Çizmecioğlu,

Boz,

Çalık

2024

Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi

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Companies are now considering the option of outsourcing as hedges cost and increase productivity by concentrating on their core skills to update their supply chains due to the competition in global markets, the use of higher-quality products, and rising customer demands. They must carefully select and identify which company to collaborate with before outsourcing their numerous logistics-related tasks to Third-Party Logistics Providers (3PLP). However, the existence of uncertainties and human influence in 3PLP selection problems leads to the usage of fuzzy or related set theories. By incorporating Multi-Criteria Decision Making (MCDM) methods with fuzzy numbers and grey numbers, practical tools can be composed to address the imprecision of subjective judgments. From this perspective, an integrated MCDM model is proposed to provide insight into the 3PLP evaluation and selection. The model comprises an integrated framework with Pythagorean fuzzy numbers and grey numbers. The proposed model has applied a 3PLP a company in the food industry to fulfill customer orders. The evaluation criteria weights are calculated using the Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) method, and the 3PLPs are ranked using the grey Technique for Order Preference by Similarity to Ideal Solution (GTOPSIS) methods to find the best 3PLP. The analyses and findings concluded that cost, service quality, and on-time delivery were the three criteria that had the greatest influence

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Section: Literature Reviewsmentioning

confidence: 99%

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

Çizmecioğlu,

Boz,

Çalık

2024

Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi

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“…} be IF numbers with ordered pairs. If none of them has maximum consistency or maximum inconsistency, the basic operators are as follows [2,3]:…”

Section: And Inconsistency In the Judgmentmentioning

confidence: 99%

“…By asking both types Mathematics 2023, 11, 3867 2 of 13 of questions, experts or groups gain a better understanding of their actions/preferences. This is the most important advantage of IFSOP [2,3]. The total number of questions becomes four since two for membership and non-membership degrees of functional question (O) and two for membership and non-membership degrees of dysfunctional question (P ) are asked by an expert.…”

Section: Introductionmentioning

confidence: 99%

“…Cebi et al [2] used IFSOP in operational risk analysis in business processes in a more realistic and detailed way through functional and dysfunctional question-based membership functions. Cebi et al [3] extended the analytic hierarchy process (AHP) method by using IFSOP, making pairwise comparisons in AHP more reliable by considering the individual answers given by experts to the reciprocal questions under vagueness and impreciseness. In the scope of this study, parallel to the newly published paper on the enlargement of IFSOP in MCDM methods, it aims to extend the TOPSIS (Technique of Order Preference Similarity to the Ideal Solution) method, which is widely used in the literature.…”

Section: Introductionmentioning

confidence: 99%

“…The score index SI ∼ α of an IF number with ordered pairs ∼ α = {O(a, b),P (c, d)} is proposed as follows[2,3] …”

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confidence: 99%

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Intuitionistic Fuzzy Sets with Ordered Pairs and Their Usage in Multi-Attribute Decision Making: A Novel Intuitionistic Fuzzy TOPSIS Method with Ordered Pairs

Kahraman,

Cebi,

Oztaysi

et al. 2023

Mathematics

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Intuitionistic Fuzzy Sets with Ordered Pairs (IFSOP) are the recent extension of intuitionistic fuzzy sets by incorporating functional and dysfunctional points of view into the definition of membership functions. This paper extends the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) method to the Intuitionistic Fuzzy TOPSIS (IF TOPSIS) with ordered pairs method and applies it to a multi-criteria risk-based supplier selection problem under fuzziness. IF TOPSIS with ordered pairs involves finding a positive ideal solution and a negative ideal solution, and measuring the distance between each alternative and these solutions. The final ranking of the alternatives is obtained based on the proportion of distances between the positive and negative ideal solutions. By asking functional and dysfunctional questions in this ranking process, the developed IF TOPSIS with ordered pairs method incorporates the accuracy and consistency of expert judgments, enhancing the decision-making process. A sensitivity analysis is also presented in order to show the robustness of the rankings obtained by IF TOPSIS with ordered pairs.

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Implementation of Analytical Hierarchy Process for Developing Better Waste Collection System

Ali,

Solangi,

Ahmed

et al. 2024

Plastic Waste Management

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Consideration of reciprocal judgments through Decomposed Fuzzy Analytical Hierarchy Process: A case study in the pharmaceutical industry

Cited by 24 publications

References 57 publications

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

Application of Pfahp-Gtopsis Methods for Third-Party Logistics Provider Selection

Intuitionistic Fuzzy Sets with Ordered Pairs and Their Usage in Multi-Attribute Decision Making: A Novel Intuitionistic Fuzzy TOPSIS Method with Ordered Pairs

Implementation of Analytical Hierarchy Process for Developing Better Waste Collection System

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