Abstract
The definition and criterion from the single valued data into the vague valued data were presented, and the two transforming formulas from the single valued data to the vague valued data were proposed. The examples make known that the distinct formulas have distinct characters.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kun, C., et al.: Interchange project evaluation method based on vague set. Highway Traffic Technology 138(4), 125–127 (2008)
Anhua, P.: Similarity measures of vague sets and its application in the material selection. Coal Mine Machinery 27(5), 891–893 (2006)
Jun, Y., Yongcan, X.: A kind of program decision method based on the similarity measure for vague set. Computer Simulation 23(4), 90–93 (2006)
Jianguo, L.: Similarity measure of between vague sets and its application to program decision making. Engineering Design 12(6), 325–328, 333 (2005)
Ye, J.: Steam Turbine fault diagnosis based on similarity measure of vague sets. Chinese Society for Electrical Engineering 26(1), 16–20 (2006)
Zhao, Z.-w.: Wear fault diagnosis of diesel engine based on similarity measureof vague set 26(9), 68–72 (2006)
Jun, Y., et al.: Similarity measurement analysis of vague sets and its Application in program decision-making. Mechanical Design 22(6), 10–12 (2005)
Junfu, Z., Li, L.: Green packaging design evaluation method based on vague set. Packaging Engineering 28(2), 110–112 (2007)
Jing-yun, L., Fu-chun, H.: Evaluating the Condition of Overhead Transmission Lines Based on Similarity Measures between Vague Sets. Electrical Engineering (3), 58–61 (2008)
Zheng, C.-h., Li, T.-f., Gui, J.-z.: Study on Aeroengine Fault Diagnosis Based on Similarity Measures between Vague Sets. Aeronautical Computing Technique 38(2), 34–36 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Guxin, L., Hong-xu, W., Chengyi, Z. (2010). Constructing Vague Environment. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_78
Download citation
DOI: https://doi.org/10.1007/978-3-642-14880-4_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14879-8
Online ISBN: 978-3-642-14880-4
eBook Packages: EngineeringEngineering (R0)