A green routing-location problem in a cold chain logistics network design within the Balanced Score Card pillars in fuzzy environment

Moghaddasi, Benyamin; Majid, Amir Salar Ghafari; Mohammadnazari, Zahra; Aghsami, Amir; Rabbani, Masoud

doi:10.1007/s10878-023-01056-z

J Comb Optim

2023

DOI: 10.1007/s10878-023-01056-z

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A green routing-location problem in a cold chain logistics network design within the Balanced Score Card pillars in fuzzy environment

Benyamin Moghaddasi,

Amir Salar Ghafari Majid,

Zahra Mohammadnazari

et al.

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2024

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Cited by 11 publications

References 48 publications

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An evidential linguistic ELECTRE method for selection of emergency shelter sites

Fei,

Liu,

Zhang

2024

Artif Intell Rev

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In many circumstances, decisions are based on subjective experience. However, some views can be vague, meaning that policymakers do not know exactly how they should express their opinions. Therefore, it is necessary for researchers to provide scientific decision frameworks, among which the multi-criteria decision making (MCDM) method in the linguistic environment is gradually favored by scholars. A large body of literature reports relevant approaches with regard to linguistic term sets, but existing approaches are insufficient to express the subjective thoughts of policymakers in a complex and uncertain environment. In this paper, we address this problem by introducing the concept of evidential linguistic term set (ELTS). ELTS generalizes many other uncertainty representations under linguistic context, such as fuzzy sets, probabilities, or possibility distributions. Measures on ELTS, such as uncertainty measure, dissimilarity measure and expectation function, provide general frameworks to handle uncertain information. Modeling and reasoning of information expressed by ELTSs are realized by the proposed aggregation operators. Subsequently, this paper presents a novel MCDM approach called evidential linguistic ELECTRE method, and applies it to the case of selection of emergency shelter sites. The findings demonstrate the effectiveness of the proposed method for MCDM problems under linguistic context and highlight the significance of the developed ELTS.

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An evidential linguistic ELECTRE method for selection of emergency shelter sites

Fei,

Liu,

Zhang

2024

Artif Intell Rev

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A low-carbon route optimization method for cold chain logistics considering traffic status in China

Zhang,

Chen,

Hao

et al. 2024

Computers & Industrial Engineering

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Data-driven robust optimization for a sustainable steel supply chain network design: Toward the circular economy

Khalili-Fard,

Sabouhi,

Bozorgi-Amiri

2024

Computers & Industrial Engineering

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A green routing-location problem in a cold chain logistics network design within the Balanced Score Card pillars in fuzzy environment

Cited by 11 publications

References 48 publications

An evidential linguistic ELECTRE method for selection of emergency shelter sites

An evidential linguistic ELECTRE method for selection of emergency shelter sites

A low-carbon route optimization method for cold chain logistics considering traffic status in China

Data-driven robust optimization for a sustainable steel supply chain network design: Toward the circular economy

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