A Modified Balanced Scorecard Based Hybrid Pythagorean Fuzzy AHP-Topsis Methodology for ATM Site Selection Problem

Yıldız, Aslıhan; Ayyıldız, Ertuğrul; Gümüş, Alev Taşkın; Özkan, Coşkun

doi:10.1142/s0219622020500017

Cited by 46 publications

(17 citation statements)

References 38 publications

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“…Definition Some of the basic operations on two pythagorean fuzzy numbers

β_{1} = P (μ_{β_{1}}, v_{β_{1}})

and

β_{2} = P (μ_{β_{2}}, v_{β_{2}})

are given as follows (Yildiz et al, 2020). …”

Section: The Methodologymentioning

confidence: 99%

“…Oz et al (2019) develop a PF‐TOPSIS based risk assessment methodology for the natural gas pipeline project. Yildiz et al (2020) determine the best location for an automated teller machine via PF‐AHP integrated PF‐TOPSIS methodology. Rani et al (2020) present a PF‐TOPSIS based decision‐making methodology for sustainable recycling partner selection.…”

Section: Literature Reviewmentioning

confidence: 99%

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A novel distance learning ergonomics checklist and risk evaluation methodology: A case of Covid‐19 pandemic

Ayyıldız

Gümüş

2021

Hum Ftrs & Erg Mfg Svc

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Many governments decided to cancel face‐to‐face teaching and learning activities in schools and universities. They replaced them with online teaching and distance learning activities to prevent the spread of Coronavirus disease 2019 (COVID‐19). Due to this sudden change, students experienced some anthropometric, environmental, and psychosocial difficulties at home during the distance learning process. This study focuses on determining the importance of anthropometric, environmental, and psychosocial factors in the distance learning process during the COVID‐19 pandemic. This study presents main factors and their subfactors affecting ergonomic conditions of university students during distance learning. A novel distance learning ergonomics checklist is proposed based on the Occupational Safety and Health Administration checklists. The data are collected via a questionnaire filled by 100 university students who attend the Ergonomics course online. Then, the integrated methodology includes Voting Analytic Hierarchy Process integrated Pythagorean Fuzzy Technique for Order Preference by Similarity to An Ideal Solution method is adopted to prioritize the factors determined. Thirty‐nine different subfactors are evaluated under five titles, and the most important factors are determined using the proposed methodology. With the results achieved, it is seen that the suggested checklist and proposed methodology can be used by public and private education organizations as a guide for improving their distance learning strategies.

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“…Definition Some of the basic operations on two pythagorean fuzzy numbers

β_{1} = P (μ_{β_{1}}, v_{β_{1}})

and

β_{2} = P (μ_{β_{2}}, v_{β_{2}})

are given as follows (Yildiz et al, 2020). …”

Section: The Methodologymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A novel distance learning ergonomics checklist and risk evaluation methodology: A case of Covid‐19 pandemic

Ayyıldız

Gümüş

2021

Hum Ftrs & Erg Mfg Svc

Self Cite

View full text Add to dashboard Cite

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“…Wang and Li develop novel operators for dealing with interval-valued Pythagorean fuzzy information, such as continuous intervalvalued Pythagorean fuzzy-ordered weighted quadratic averaging operator and its extensions [65]. Gul [70].…”

Section: Pythagorean Fuzzy Setsmentioning

confidence: 99%

“…AHP is used for solving multi-criteria decision-making (MCDM) problems. AHP is based on criteria and alternatives' pairwise comparison [70]. AHP receives opinions from experts [80].…”

Section: Pythagorean Fuzzy Ahpmentioning

confidence: 99%

Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0

Ayyıldız

Gümüş

2020

Complex Intell. Syst.

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Supply chain operations reference (SCOR) is a combined benchmarking, business process reengineering, and best practices, and it also references a model that is intended to be an industry standard. SCOR model is one of the best models to describe supply chain activities in operations management for research and practice alike. There are radical changes in the structure of supply chains as well as developing technology in today’s information age. The purpose of this paper is to extend the SCOR model with new metrics related to Industry 4.0 and digitalization to understand and evaluate the performance of supply chains. New metrics added to the SCOR model and a novel SCOR 4.0 model is proposed. The novel performance evaluation model is structured as a three-level hierarchical structure to evaluate the supply chain. This problem is handled as a multi-criteria decision-making problem. This study uses the hybrid Best worst method and Pythagorean fuzzy AHP method to determine the weights of metrics. SCOR model is adapted to performance evaluation of the supply chain in the globalizing world. The most important metrics on the supply chain performances are determined and classified. Level 1 metrics are evaluated by Best worst method and their inner levels are evaluated by the Pythagorean fuzzy AHP method and the importance weights of each level 2 and level 3 metrics are obtained. A real application for the oil supply chain is presented to show the applicability of the proposed model. It is aimed to show the SCOR 4.0 model can be used by both public and private sectors to improve their supply chain strategies in globalizing world.

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“…Büyüközkan and Göçer [39] proposed an approach which integrated PFSs, AHP and complex proportional assessment under to evaluate alternative digital supply chain partners and they conducted a case study in Turkey to validate their proposed approach. Yıldız et al [40] applied PF-AHP and PF-TOPSIS methods to assess 25 different districts in Istanbul for ATM location selection for a public bank serving in Turkey. Kaya et al [41] used the MCDM approach with PFSs to take into account a variety of contradictory factors, from qualitative to quantitative, in the site selection of the WEEE recycling facility.…”

Section: Pythagorean Fuzzy Analytic Hierarchy Process (Pf-ahp)mentioning

confidence: 99%

Prioritizing the Factors for Customer-Oriented New Product Design in Industry 4.0

Erdoğan

Bilişik

2020

Sakarya University Journal of Science

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Customer-oriented new product design is one of the most important processes in the production environment to improve product quality and reliability and maximize their productivity. It is also necessary to consider customer expectations in this process for an effective design. In this paper, we present a methodology which is called Pythagorean Fuzzy Analytic Hierarchy Process (PF-AHP) for prioritizing criteria which should be considered for an efficient customer-oriented new product design in Industry 4.0 transition primarily. We use Pythagorean Fuzzy Sets (PFSs) to allow experts to make more flexible evaluations and handle the uncertain and vague information in a wider way. We determine five main and eighteen sub-criteria that affect the new product design process and after applying PF-AHP, we find that the most important main-criterion determined as "Production" and sub-criterion determined as "Return on Investment".

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A Modified Balanced Scorecard Based Hybrid Pythagorean Fuzzy AHP-Topsis Methodology for ATM Site Selection Problem

Cited by 46 publications

References 38 publications

A novel distance learning ergonomics checklist and risk evaluation methodology: A case of Covid‐19 pandemic

A novel distance learning ergonomics checklist and risk evaluation methodology: A case of Covid‐19 pandemic

Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0

Prioritizing the Factors for Customer-Oriented New Product Design in Industry 4.0

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