Green Logistics Partner Selection Based on Pythagorean Hesitant Fuzzy Set and Multiobjective Optimization

Abstract

With the deepening of the uncertainty and fuzziness of people’s understanding of things, it becomes more convenient to use fuzzy decision making in evaluating schemes. These schemes not only include quantitative data but also consider more and more uncertainty evaluation information. In fuzzy theory, the Pythagorean fuzzy set is extended, both of which are less than or equal to 1, which increases the scope of application. This paper mainly studies the selection of green logistics. Based on the original TOPSIS principle, this paper introduces a Pythagorean fuzzy symmetric cross entropy to describe the difference between two Pythagorean fuzzy numbers and proves its rationality. The model is applied to the selection of green logistics and compared with the results obtained by other different methods, which also shows the effectiveness and practicability of the model. It extends the use of fuzzy sets and can solve some problems that cannot be solved by intuitionistic fuzzy sets before.

Bütünleştirilmiş AHP-ARAS Yaklaşımıyla Lojistik Partner Seçimi: Otomotiv Yan Sanayi Yedek Parça Sektöründe Bir Uygulama

“…Mevcut çalışma ile lojistik partner seçimine yönelik gerçekleştirilmiş olan çalışmalar kıyaslandığında AHP yönteminin farklı çalışmalarda (Kinra ve Kotzab, 2008;Gürcan vd., 2016;Neto vd., 2017;Bianchini, 2018;Lei vd., 2021;Tanksale vd., 2021) kullanıldığı, ARAS yönteminin ise lojistik partner seçim çalışmalarında kullanılmadığı görülmüştür. Ayrıca gerçekleştirilen literatür araştırması sonucunda elde edilen bilgiler doğrultusunda lojistik partner seçimine yönelik farklı ÇKKV yöntemlerinin bütünleştirilerek kullanıldığı sınırlı sayıda çalışma (Bianchini, 2018;Guan, 2022) olduğu, bütünleşik AHP-ARAS yaklaşımını kullanan bir çalışmanın olmadığı tespit edilmiştir. Bu nedenle mevcut çalışma, ilgili literatürde otomotiv sektöründe lojistik partner seçimine yönelik kullanılabilecek kriterleri oluşturan ve diğer çalışmalar ile faydalanılan yöntemler açısından karşılaştırıldığında lojistik partner seçimine yönelik AHP-ARAS yöntemlerini bütünleştirip uygulayan ilk çalışmadır.…”

Determinants of Low-Carbon Logistics Capability Based on Dynamic fsQCA: Evidence from China’s Provincial Panel Data

“…Entropy weighting, combined with the TOPSIS method, has been widely used in various evaluation-based studies [42,43]. In addition, with reference to the logistics context, entropy weight TOPSIS was applied to the issue related to the regional logistics industry's high-quality development level measurement and green logistics partner selection [44,45].…”

Evolved distance measures for circular intuitionistic fuzzy sets and their exploitation in the technique for order preference by similarity to ideal solutions

“…In particular, the technique for order preference by similarity to ideal solutions (TOPSIS), which originated from Hwang and Yoon ( 1981 ), is a useful prioritization method in important fields of management analysis and decision theory (Alshammari et al 2022 ; Yang et al 2022 ). TOPSIS exploits a compensatory aggregation approach that is predicated on the geometric distances between performance ratings associated with candidate alternatives and ideal/anti-ideal alternatives (composed of the best/worst performance ratings in terms of each criterion) to assess the relative merits of candidate alternatives (Guan 2022 ; Yang et al 2022 ; Zhang et al 2022 ).…”