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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">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</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/pbes.v7i6.9124</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Determination Method for Index Weights of Logistics Information Systems in a Mass Customization Environment</title><url>https://artdesignp.com/journal/PBES/7/6/10.26689/pbes.v7i6.9124</url><author>ZhangYunlong,WangZengqiang</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>7</volume><issue>6</issue><history><date date-type="pub"><published-time>2024-12-23</published-time></date></history><abstract>To address the challenge of representing key index weights of logistics information systems in a mass customization environment using multi-granularity mixed semantic phrases, a method for determining index weights based on complex semantic information is proposed. First, an integrated method processes the multi-granularity mixed semantic variables to obtain initial index weights. Second, the probability of uncertain semantic information is calculated to determine the correction coefficient for key indicators of logistics information systems. Finally, the initial index weights and correction coefficients are synthesized to derive the final index weights. The effectiveness and feasibility of the proposed method are demonstrated using the selection of a logistics information system for a computer company as a case study.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Moura-Leite RC, Lopes JCdJ, Yamazaki C, 2023, Brazilian Federal Universities and Their Sustainable Practices Based on Sustainable Logistics Management Plan. International Journal of Sustainability in Higher Education, 24(4): 932–947. https://doi.org/10.1108/IJSHE-02-2022-0057</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. https://doi.org/10.1007/s40747-022-00681-1</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: 110579. https://doi.org/10.1016/j.cie.2024.110579</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>Zhang M, Grosse EH, Glock CH, 2022, Potential of Mobile Applications in Human-Centric Production and Logistics Management. IFAC-PapersOnLine, 55(10): 151–156. https://doi.org/10.1016/j.ifacol.2022.09.382</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. https://doi.org/10.1109/TSMC.2023.3273715</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
