{"title":"犹豫模糊环境下EOQ模型的多准则多属性决策","authors":"Sujit Kumar De , Shib Sankar Sana","doi":"10.1016/j.psra.2015.11.006","DOIUrl":null,"url":null,"abstract":"<div><p>This article describes an inventory model with several attributes. The primary purpose of an economic order quantity (EOQ) model is to select the best alternative in the face of uncertainty and other considerations. Unlike an intuitionistic fuzzy set (IFS), a hesitant fuzzy set (HFS) has an emergent implication in current decision-making problems. A membership function class is assumed, and a hesitant fuzzy decision matrix with elements that are membership grades is constructed. Using these values, the scores are derived with the help of hesitant fuzzy weighted geometric (HFWG), hesitant fuzzy geometric (HFG), hesitant fuzzy Einstein weighted geometric (HFEWG) and hesitant fuzzy Einstein ordered weighted geometric (HFEOWG) operators. Finally, a decision is made using the scores of each alternative.</p></div>","PeriodicalId":100999,"journal":{"name":"Pacific Science Review A: Natural Science and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.psra.2015.11.006","citationCount":"15","resultStr":"{\"title\":\"Multi-criterion multi-attribute decision-making for an EOQ model in a hesitant fuzzy environment\",\"authors\":\"Sujit Kumar De , Shib Sankar Sana\",\"doi\":\"10.1016/j.psra.2015.11.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This article describes an inventory model with several attributes. The primary purpose of an economic order quantity (EOQ) model is to select the best alternative in the face of uncertainty and other considerations. Unlike an intuitionistic fuzzy set (IFS), a hesitant fuzzy set (HFS) has an emergent implication in current decision-making problems. A membership function class is assumed, and a hesitant fuzzy decision matrix with elements that are membership grades is constructed. Using these values, the scores are derived with the help of hesitant fuzzy weighted geometric (HFWG), hesitant fuzzy geometric (HFG), hesitant fuzzy Einstein weighted geometric (HFEWG) and hesitant fuzzy Einstein ordered weighted geometric (HFEOWG) operators. Finally, a decision is made using the scores of each alternative.</p></div>\",\"PeriodicalId\":100999,\"journal\":{\"name\":\"Pacific Science Review A: Natural Science and Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.psra.2015.11.006\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pacific Science Review A: Natural Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405882315000083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacific Science Review A: Natural Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405882315000083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-criterion multi-attribute decision-making for an EOQ model in a hesitant fuzzy environment
This article describes an inventory model with several attributes. The primary purpose of an economic order quantity (EOQ) model is to select the best alternative in the face of uncertainty and other considerations. Unlike an intuitionistic fuzzy set (IFS), a hesitant fuzzy set (HFS) has an emergent implication in current decision-making problems. A membership function class is assumed, and a hesitant fuzzy decision matrix with elements that are membership grades is constructed. Using these values, the scores are derived with the help of hesitant fuzzy weighted geometric (HFWG), hesitant fuzzy geometric (HFG), hesitant fuzzy Einstein weighted geometric (HFEWG) and hesitant fuzzy Einstein ordered weighted geometric (HFEOWG) operators. Finally, a decision is made using the scores of each alternative.
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