Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors

The art of managing materials; logistics play a crucial role in efficiency and productivity of companies. It is very significant to determine most influential logistic factors since logistic costs account for 30% of total company costs. The factors affecting success of logistic enterprises such as cost, speed, reliability, customer satisfaction, distribution channel, company image, environmental friendliness and technological innovations are investigated and ranked in this study. Three different approaches based on Pythagorean Fuzzy sets, triangular fuzzy numbers and Analytic Hierarchy Process is offered for ranking these factors. Although it has been introduced to literature recently, the pythagorean fuzzy sets are widely employed in calculating uncertainty. The three most influential logistic factors are revealed as cost, speed and reliability, respectively by employing AHP, Fuzzy AHP and Pythagorean Fuzzy AHP, however factor weights are different. We think that the differences with in the AHP, F-AHP and PF-AHP results may stem from expressing evaluations in exact values, linguistic terms or in some cases it may be related to fulfilling the condition of membership and non-membership. Furthermore, top 10 logistic firms in Turkey are scored and ranked to these factors. Logistics, Pythagorean fuzzy sets, AHP, Fuzzy AHP, MCDM.

Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors

The art of managing materials; logistics play a crucial role in efficiency and productivity of companies. It is very significant to determine most influential logistic factors since logistic costs account for 30% of total company costs. The factors affecting success of logistic enterprises such as cost, speed, reliability, customer satisfaction, distribution channel, company image, environmental friendliness and technological innovations are investigated and ranked in this study. Three different approaches based on Pythagorean Fuzzy sets, triangular fuzzy numbers and Analytic Hierarchy Process is offered for ranking these factors. Although it has been introduced to literature recently, the pythagorean fuzzy sets are widely employed in calculating uncertainty. The three most influential logistic factors are revealed as cost, speed and reliability, respectively by employing AHP, Fuzzy AHP and Pythagorean Fuzzy AHP, however factor weights are different. We think that the differences with in the AHP, F-AHP and PF-AHP results may stem from expressing evaluations in exact values, linguistic terms or in some cases it may be related to fulfilling the condition of membership and non-membership. Furthermore, top 10 logistic firms in Turkey are scored and ranked to these factors. Logistics, Pythagorean fuzzy sets, AHP, Fuzzy AHP, MCDM.

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Bibtex @düzeltme { politeknik623998, journal = {Politeknik Dergisi}, eissn = {2147-9429}, address = {Gazi Üniversitesi Teknoloji Fakültesi 06500 Teknikokullar - ANKARA}, publisher = {Gazi Üniversitesi}, year = {2019}, volume = {22}, number = {4}, pages = {793 - 800}, doi = {10.2339/politeknik.586041}, title = {Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors}, key = {cite}, author = {Şenol, Mehmet Burak and Adem, Aylin and Dağdeviren, Metin} }
APA Şenol, M. B. , Adem, A. & Dağdeviren, M. (2019). Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors . Politeknik Dergisi , 22 (4) , 793-800 . DOI: 10.2339/politeknik.586041
MLA Şenol, M. B. , Adem, A. , Dağdeviren, M. "Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors" . Politeknik Dergisi 22 (2019 ): 793-800 <
Chicago Şenol, M. B. , Adem, A. , Dağdeviren, M. "Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors". Politeknik Dergisi 22 (2019 ): 793-800
RIS TY - JOUR T1 - Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors AU - Mehmet Burak Şenol , Aylin Adem , Metin Dağdeviren Y1 - 2019 PY - 2019 N1 - doi: 10.2339/politeknik.586041 DO - 10.2339/politeknik.586041 T2 - Politeknik Dergisi JF - Journal JO - JOR SP - 793 EP - 800 VL - 22 IS - 4 SN - -2147-9429 M3 - doi: 10.2339/politeknik.586041 UR - Y2 - 2018 ER -
EndNote %0 Politeknik Dergisi Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors %A Mehmet Burak Şenol , Aylin Adem , Metin Dağdeviren %T Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors %D 2019 %J Politeknik Dergisi %P -2147-9429 %V 22 %N 4 %R doi: 10.2339/politeknik.586041 %U 10.2339/politeknik.586041
ISNAD Şenol, Mehmet Burak , Adem, Aylin , Dağdeviren, Metin . "Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors". Politeknik Dergisi 22 / 4 (Aralık 2019): 793-800 .
AMA Şenol M. B. , Adem A. , Dağdeviren M. Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors. Politeknik Dergisi. 2019; 22(4): 793-800.
Vancouver Şenol M. B. , Adem A. , Dağdeviren M. Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors. Politeknik Dergisi. 2019; 22(4): 793-800.
IEEE M. B. Şenol , A. Adem ve M. Dağdeviren , "Correction: A Fuzzy MCDM Approach to Determine the Most Influential Logistic Factors", Politeknik Dergisi, c. 22, sayı. 4, ss. 793-800, Ara. 2019, doi:10.2339/politeknik.586041
Politeknik Dergisi
  • ISSN: 1302-0900
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 1998

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