{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T07:13:20Z","timestamp":1777706000361,"version":"3.51.4"},"reference-count":28,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2022,6,1]]},"abstract":"<jats:p>The rapid development of the Internet has accelerated the expansion of e-commerce sacle of fresh agricultural products. The actual audience of smart logistics distribution of fresh agricultural products is customers, and customers enjoy the process and results of distribution services. However, the current research mainly selects indicators from the aspects of enterprise performance, cost and technical level based on the perspective of managers and technicians, which make it difficult to truly reflect customers\u2019 feelings in the evaluation results. At the same time, the evaluation methods mainly focus on the comprehensive evaluation method and fuzzy evaluation method. These evaluation methods are greatly affected by subjective factors in the evaluation grade distribution, and the assignment is often relatively complete and inaccurate. To solve these problems, this paper constructs the evaluation index system of intelligent logistics distribution of fresh agricultural products from the perspective of customers, so that the selection of indicators is more in line with the real wishes of customers. And we use the extension function to construct the correlation function for multi-level extension evaluation to ensure the accuracy of the evaluation results. Taking X logistics enterprise as an example, this paper verifies the scientificity of the evaluation index system of intelligent logistics distribution of fresh agricultural products through empirical research, which has reference significance for further improving the intelligent logistics distribution of fresh agricultural products.<\/jats:p>","DOI":"10.3233\/jifs-212362","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T13:03:20Z","timestamp":1641906200000},"page":"615-626","source":"Crossref","is-referenced-by-count":5,"title":["Study on the extension evaluation of smart logistics distribution of fresh agricultural products based on the perspective of customers"],"prefix":"10.1177","volume":"43","author":[{"given":"Huipeng","family":"Li","sequence":"first","affiliation":[{"name":"College of Economics and Management, Guangxi Normal University, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Lu","sequence":"additional","affiliation":[{"name":"College of Economics and Management, Guangxi Normal University, Guilin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liguo","family":"Yang","sequence":"additional","affiliation":[{"name":"Hohai University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-212362_ref1","doi-asserted-by":"crossref","first-page":"158","DOI":"10.2298\/TSCI181204158H","article-title":"Research on fault diagnosis of thermodynamic system based on the network model of internet of things","volume":"23","author":"He","year":"2019","journal-title":"Thermal Science"},{"key":"10.3233\/JIFS-212362_ref3","first-page":"022014","article-title":"Construction of Intelligent Logistics Model Based on Big Data","volume":"1648","author":"Pan","year":"2020","journal-title":"Journal of Physics: Conference Series"},{"issue":"12","key":"10.3233\/JIFS-212362_ref4","doi-asserted-by":"crossref","first-page":"3947","DOI":"10.1109\/TITS.2018.2789910","article-title":"Energy-efficient train timetable optimization in the subway system with energy storage devices","volume":"19","author":"Liu","year":"2018","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"12","key":"10.3233\/JIFS-212362_ref5","doi-asserted-by":"crossref","first-page":"5019","DOI":"10.1016\/j.eswa.2015.02.058","article-title":"Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization\u2013genetic algorithm","volume":"42","author":"Wang","year":"2015","journal-title":"Expert Systems with Applications an International Journal"},{"key":"10.3233\/JIFS-212362_ref6","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.procs.2019.09.467","article-title":"Smart logistics: Study of the application of blockchain technology","volume":"160","author":"Issaoui","year":"2019","journal-title":"Procedia Computer Science"},{"issue":"2","key":"10.3233\/JIFS-212362_ref7","doi-asserted-by":"crossref","first-page":"e5442","DOI":"10.1002\/cpe.5442","article-title":"Task scheduling in Internet of Things cloud environment using a robust particle swarm optimization","volume":"32","author":"Hasan","year":"2020","journal-title":"Concurrency and Computation: Practice and Experience"},{"issue":"6","key":"10.3233\/JIFS-212362_ref8","doi-asserted-by":"crossref","first-page":"1950051","DOI":"10.1142\/S0219691319500516","article-title":"Research on logistics distribution path optimization based on PSO and IoT. 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