{"title":"Evaluation of subjective policy reflection using the Choquet integral and its applications","authors":"Jacob Wood , Dojin Kim , Lee-Chae Jang","doi":"10.1016/j.fss.2024.109012","DOIUrl":null,"url":null,"abstract":"<div><p>This paper proposes a methodology for assessing the subjective policy reflection in national trade policies through the use of Choquet integral. Specifically, we introduce three fuzzy measures that reflect different policies based on the trade items included in data on the annual trade amounts of selected national animal products from 2010 to 2020. The Choquet expected utility serves as a tool for evaluating subjective policy reflection, allowing for the comparison of national economic policies across selected countries. To demonstrate the practical application of the proposed methodology, we provide specific numerical values that represent the evaluation of subjective policy reflection. Furthermore, we present a decision-making strategy that pertains to the allocation of subsidies on imports and exports of trade transaction amounts, assuming that government subsidies are budgeted using the Choquet expected utility. The proposed methodology offers a valuable framework for policymakers and stakeholders, facilitating in-depth analysis and improvement of the effectiveness of national trade policies.</p></div>","PeriodicalId":55130,"journal":{"name":"Fuzzy Sets and Systems","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Sets and Systems","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165011424001581","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a methodology for assessing the subjective policy reflection in national trade policies through the use of Choquet integral. Specifically, we introduce three fuzzy measures that reflect different policies based on the trade items included in data on the annual trade amounts of selected national animal products from 2010 to 2020. The Choquet expected utility serves as a tool for evaluating subjective policy reflection, allowing for the comparison of national economic policies across selected countries. To demonstrate the practical application of the proposed methodology, we provide specific numerical values that represent the evaluation of subjective policy reflection. Furthermore, we present a decision-making strategy that pertains to the allocation of subsidies on imports and exports of trade transaction amounts, assuming that government subsidies are budgeted using the Choquet expected utility. The proposed methodology offers a valuable framework for policymakers and stakeholders, facilitating in-depth analysis and improvement of the effectiveness of national trade policies.
期刊介绍:
Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies.
In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.