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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v6i12.9270</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Logistics System Evaluation Based on Group Language Information in Mass Customization</title><url>https://artdesignp.com/journal/SSR/6/12/10.26689/ssr.v6i12.9270</url><author>ZhangYunlong,WangZengqiang</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>6</volume><issue>12</issue><history><date date-type="pub"><published-time>2025-01-03</published-time></date></history><abstract>In order to deal with the complexity of logistics system evaluation under mass customization environment, multiple heterogeneous evaluators often directly give the language information of logistics system evaluation, and a logistics system evaluation method based on group language information is proposed. In this method, firstly, the evaluator uses language information to represent the evaluation value of the key indicators of the logistics system in the mass customization environment, and then uses fuzzy language scale to transform the evaluation value. Secondly, the Generalized Induced Ordered Weighted Averaging (GIOWA) operator is used twice to aggregate the language information given by the evaluator with the weight of the indicator and the weight of the evaluator to obtain the comprehensive evaluation value of the member and the comprehensive evaluation value of the scheme. Finally, the comprehensive evaluation values of the scheme are sorted and the optimal scheme is obtained. This paper takes a computer enterprise to realize the mass customization model as an example to verify the effectiveness and practicability of the proposed method.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Shadkam E, 2022, Cuckoo Optimization Algorithm in Reverse Logistics: A Network Design for COVID-19 Waste Management. Waste Management &amp; Research, 40(4): 458–469.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wang ZQ, Chen ZS, Garg H, et al., 2022, An Integrated Quality-Function-Deployment and Stochastic-Dominance-Based Decision-Making Approach for Prioritizing Product Concept Alternatives. Complex &amp; Intelligent Systems, 8(3): 2541–2556.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Wang H, Xin YJ, Deveci M, et al., 2024, Leveraging Online Reviews and Expert Opinions for Electric Vehicle Type Prioritization. Computers &amp; Industrial Engineering, 197(11): 110579.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Mouschoutzi M, Ponis ST, 2022, A Comprehensive Literature Review on Spare Parts Logistics Management in the Maritime Industry. The Asian Journal of Shipping and Logistics, 38(2): 71–83.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Chen ZS, Zhu Z, Wang XJ, et al., 2023, Multiobjective Optimization-Based Collective Opinion Generation with Fairness Concern. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(9): 5729–5741.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
