绩效评价的模糊逻辑方法

S. Ammar, R. Wright
{"title":"绩效评价的模糊逻辑方法","authors":"S. Ammar, R. Wright","doi":"10.1109/ISUMA.1995.527701","DOIUrl":null,"url":null,"abstract":"Client satisfaction surveys are a growing part of performance evaluation for both individuals and corporate units. At one Northeast public utility, when these surveys became a major part of performance evaluation, concerns were raised about the validity of current procedures for analyzing this data. A research and development effort was begun to see how well fuzzy logic could be used to analyze this inherently imprecise data. In this paper, we describe the current procedures and their obvious defects, a preliminary model which corrects the worst deficiencies, and finally the R&D supported model which was developed using a fuzzy rule-based system.","PeriodicalId":298915,"journal":{"name":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A fuzzy logic approach to performance evaluation\",\"authors\":\"S. Ammar, R. Wright\",\"doi\":\"10.1109/ISUMA.1995.527701\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Client satisfaction surveys are a growing part of performance evaluation for both individuals and corporate units. At one Northeast public utility, when these surveys became a major part of performance evaluation, concerns were raised about the validity of current procedures for analyzing this data. A research and development effort was begun to see how well fuzzy logic could be used to analyze this inherently imprecise data. In this paper, we describe the current procedures and their obvious defects, a preliminary model which corrects the worst deficiencies, and finally the R&D supported model which was developed using a fuzzy rule-based system.\",\"PeriodicalId\":298915,\"journal\":{\"name\":\"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISUMA.1995.527701\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISUMA.1995.527701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

客户满意度调查是个人和公司单位绩效评估的一个日益增长的部分。在一家东北公用事业公司,当这些调查成为业绩评估的主要部分时,人们对分析这些数据的现行程序的有效性提出了担忧。一项研究和开发工作开始了,以了解模糊逻辑如何很好地用于分析这种本质上不精确的数据。本文描述了目前的流程及其明显的缺陷,建立了一个纠正最严重缺陷的初步模型,最后利用基于模糊规则的系统建立了研发支持模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy logic approach to performance evaluation
Client satisfaction surveys are a growing part of performance evaluation for both individuals and corporate units. At one Northeast public utility, when these surveys became a major part of performance evaluation, concerns were raised about the validity of current procedures for analyzing this data. A research and development effort was begun to see how well fuzzy logic could be used to analyze this inherently imprecise data. In this paper, we describe the current procedures and their obvious defects, a preliminary model which corrects the worst deficiencies, and finally the R&D supported model which was developed using a fuzzy rule-based system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信