文章基本信息

标题：Construction of Fuzzy Inference System for Public Food Supply Chain in cooperative Sector
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作者：G.Ayyappan ; K.Alice Suresh ; S.Thirunavukkarasu 等
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2020
卷号：11
期号：6
页码：948-952
DOI：10.21817/indjcse/2020/v11i6/201106240
出版社：Engg Journals Publications
摘要：The currently going on demand for digitalization public supply chains in cooperative sectors motivates to go for metrics which raise the fairness and at the same time the standards of the Government either regional or federal synchronizing with their policies and legislation towards economic growth and citizen welfare. The involved decision makers cannot be rigid/discrete in measuring the parameters in such systems and hence fuzzy logic is identified suitable for them. Though there are many research works in the literature, still their focus is on particularly on systems managing safety, risk and profit outputs. The lack of availability of this approach in cooperative sectors for public food distribution makes the authors to propose a fuzzy inference system accommodating fuzzy rules mapping to Farmers yield , Government approval rate and customer Demand.
关键词：Supply Chain;Fuzzy Inference System;Public Cooperative Sector;Fuzzy Membership functions;Fuzzy rule based system.