Research on Multiple Objective Decision Model of the Security of On-Line Shopping Based on Fuzzy Information Theory

2009 ◽  
pp. 61-68
Author(s):  
Yang Liu ◽  
Ci-yuan Xiao ◽  
Xiao-ming Li ◽  
Xiang-jun Xie
Keyword(s):  
Information Theory ◽  
Decision Model ◽  
Multiple Objective ◽  
Fuzzy Information ◽  
On Line

Optimum stage design in axial-flow gas turbines

2002 ◽  
Vol 216 (6) ◽  
pp. 433-445 ◽  
Author(s):  
K V J Rao ◽  
S Kolla ◽  
Ch Penchalayya ◽  
M Ananda Rao ◽  
J Srinivas
Keyword(s):  
Gas Turbine ◽  
Gas Turbines ◽  
Axial Flow ◽  
Sensitivity Analyses ◽  
Multiple Objective ◽  
Stage Design ◽  
Effective Dimensions ◽  
On Line ◽  
Turbine Design ◽  
Root Stress

This paper proposes the formulation and solution procedures in the stage optimization of the effective dimensions of an axial-flow gas turbine. Increasing the stage efficiency and minimizing the overall mass of components per stage are the common objectives in gas turbine design. This multiple objective function, with important constraints like natural frequency limits, root stress values, and tip deflection in blades, constitutes the overall optimization problem. The problem is solved by using a modified nonlinear simplex method with a built-in user interactive program that helps in on-line modifications of parameters other than variables in the problem. Results are presented with single objective and multiple objective criteria, including sensitivity analyses about the optimum point.

A Status Quo Biased Multistage Decision Model for Regional Agricultural Socioeconomic Planning Under Fuzzy Information

2019 ◽  
pp. 201-226
Author(s):  
Janusz Kacprzyk ◽  
Yuriy P. Kondratenko ◽  
Jos’e M. Merigó ◽  
Jorge Hernandez Hormazabal ◽  
Gia Sirbiladze ◽  
...  
Keyword(s):  
Decision Model ◽  
Status Quo ◽  
Fuzzy Information

scholarly journals Comparative Study of Generalized Quantitative-Qualitative Inaccuracy Fuzzy Measures for Noiseless Coding Theorem and 1:1 Codes

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
H. D. Arora ◽  
Anjali Dhiman
Keyword(s):  
Information Theory ◽  
Data Compression ◽  
Error Correction ◽  
Coding Theory ◽  
Fuzzy Information ◽  
Fuzzy Measures ◽  
Information Measures ◽  
Codeword Length ◽  
Engineering Mathematics ◽  
The Relationship

In coding theory, we study various properties of codes for application in data compression, cryptography, error correction, and network coding. The study of codes is introduced in Information Theory, electrical engineering, mathematics, and computer sciences for the transmission of data through reliable and efficient methods. We have to consider how coding of messages can be done efficiently so that the maximum number of messages can be sent over a noiseless channel in a given time. Thus, the minimum value of mean codeword length subject to a given constraint on codeword lengths has to be founded. In this paper, we have introduced mean codeword length of orderαand typeβfor 1:1 codes and analyzed the relationship between average codeword length and fuzzy information measures for binary 1:1 codes. Further, noiseless coding theorem associated with fuzzy information measure has been established.

A Multiple Objective Decision Model for Energy Efficiency Upgrade Investment in Buildings

2012 ◽  
Vol 45 (21) ◽  
pp. 681-686
Author(s):  
Esrom M. Malatji ◽  
Jiangfeng Zhang ◽  
Xiaohua Xia
Keyword(s):  
Energy Efficiency ◽  
Decision Model ◽  
Multiple Objective
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