Multivalued fuzzy sets in cost/time estimation of flat plate processing

被引:16
作者
Jahan-Shahi, H [1 ]
Shayan, E [1 ]
Masood, SH [1 ]
机构
[1] Swinburne Univ Technol, IRIS, Melbourne, Vic 3122, Australia
关键词
cost/time estimation; fuzzy sets; Monte Carlo simulation; probability distributions; uncertainty;
D O I
10.1007/s001700170121
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cost/time estimation in flat plate processing (FPP) is a complex system of man-work-environment-organisation. As the share and impact of physical, psychological, personal, and other characteristics of humans (non-process factors) in this complex system becomes larger, the state of FPP time estimation changes from well-defined to ill-defined (uncertain). In this paper, the effect of process and non-process factors on the activity time variation are discussed and a multivalued fuzzy set (MVFS) is used to model the uncertainty activity time/cost estimation in FPP. Emphasis is placed on modelling of nonrandom uncertainties using fuzzy sets.
引用
收藏
页码:751 / 759
页数:9
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