{"title":"基于z数的挣值管理新方法","authors":"D. Kuchta, Adam Zabor","doi":"10.1080/16168658.2022.2156250","DOIUrl":null,"url":null,"abstract":"Purpose: We propose an extension of the Earned Value method that takes into account both intangible and undocumented factors of project cost increase that occur during project execution and the credibility/reliability of cost estimations. Methodology: Credibility or reliability of cost estimations used in the Earned Value Method is modelled by means of Z-fuzzy numbers. They model both the information scope available to the experts and the credibility of the experts, their individual features and the nature of information sources used. Findings: The proposed version of the Earned Value Method can provide substantially earlier and more reliable warnings about future cost overruns in projects. Value: The proposed method may decrease the probability and impact of cost overrun risk in the everyday practice of project management. This is an important contribution, as considerable cost overruns occur in numerous projects.","PeriodicalId":37623,"journal":{"name":"Fuzzy Information and Engineering","volume":"149 1","pages":"361 - 378"},"PeriodicalIF":1.3000,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Approach to Z-number Based Earned Value Management\",\"authors\":\"D. Kuchta, Adam Zabor\",\"doi\":\"10.1080/16168658.2022.2156250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: We propose an extension of the Earned Value method that takes into account both intangible and undocumented factors of project cost increase that occur during project execution and the credibility/reliability of cost estimations. Methodology: Credibility or reliability of cost estimations used in the Earned Value Method is modelled by means of Z-fuzzy numbers. They model both the information scope available to the experts and the credibility of the experts, their individual features and the nature of information sources used. Findings: The proposed version of the Earned Value Method can provide substantially earlier and more reliable warnings about future cost overruns in projects. Value: The proposed method may decrease the probability and impact of cost overrun risk in the everyday practice of project management. This is an important contribution, as considerable cost overruns occur in numerous projects.\",\"PeriodicalId\":37623,\"journal\":{\"name\":\"Fuzzy Information and Engineering\",\"volume\":\"149 1\",\"pages\":\"361 - 378\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fuzzy Information and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/16168658.2022.2156250\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuzzy Information and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/16168658.2022.2156250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
A New Approach to Z-number Based Earned Value Management
Purpose: We propose an extension of the Earned Value method that takes into account both intangible and undocumented factors of project cost increase that occur during project execution and the credibility/reliability of cost estimations. Methodology: Credibility or reliability of cost estimations used in the Earned Value Method is modelled by means of Z-fuzzy numbers. They model both the information scope available to the experts and the credibility of the experts, their individual features and the nature of information sources used. Findings: The proposed version of the Earned Value Method can provide substantially earlier and more reliable warnings about future cost overruns in projects. Value: The proposed method may decrease the probability and impact of cost overrun risk in the everyday practice of project management. This is an important contribution, as considerable cost overruns occur in numerous projects.
期刊介绍:
Fuzzy Information and Engineering—An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. While also accepting fundamental work, the journal focuses on applications. Research papers, short communications, and reviews are welcome. Technical topics within the scope include: (1) Fuzzy Information a. Fuzzy information theory and information systems b. Fuzzy clustering and classification c. Fuzzy information processing d. Hardware and software co-design e. Fuzzy computer f. Fuzzy database and data mining g. Fuzzy image processing and pattern recognition h. Fuzzy information granulation i. Knowledge acquisition and representation in fuzzy information (2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy programming and optimal f. Fuzzy probability and statistic g. Fuzzy logic and algebra h. General systems i. Fuzzy socioeconomic system j. Fuzzy decision support system k. Fuzzy expert system (3) Soft Computing a. Soft computing theory and foundation b. Nerve cell algorithms c. Genetic algorithms d. Fuzzy approximation algorithms e. Computing with words and Quantum computation (4) Fuzzy Engineering a. Fuzzy control b. Fuzzy system engineering c. Fuzzy knowledge engineering d. Fuzzy management engineering e. Fuzzy design f. Fuzzy industrial engineering g. Fuzzy system modeling (5) Fuzzy Operations Research [...] (6) Artificial Intelligence [...] (7) Others [...]