technical property
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2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Jianmin Xie ◽  
Qin Qin ◽  
Maoting Jiang

Technical characteristics are an important influencing factor in fuzzy front-end of product innovation design and also an important output of the house of quality. The analysis and decision-making of technical characteristics are conducive to the rational allocation of resources according to their own advantages and the design of products in line with market demand. In view of the multiple objective constraints and internal fuzziness of technical property selection in the house of quality, the traditional methods have great limitations on the decision-making of technical property. Therefore, this paper proposes a multiobjective decision-making method for technical property selection in the house of quality, which aims to calculate and modify the basic importance of technical property. Based on the rough set algorithm, the basic importance of technical characteristics is determined by using the correlation matrix between consumer demand and technical characteristics, and the relative weight of multiple objectives is determined by “least squares.” On this basis, the multiobjective decision-making model of technical characteristic selection is established and calculated. At last, an example of mobile phone product design was used to verify the practicability and effectiveness of the method.


2011 ◽  
Vol 188 ◽  
pp. 340-343 ◽  
Author(s):  
Y.H. Shen ◽  
Yi Wen Wang ◽  
Tao Chen ◽  
Hai Ying Han ◽  
H. Zhang

The large cylinder is difficult processed material, which be based on the analysis of the processing feature of large cylinder, the method is proposed on the basics of actual case resemblance, the optimal solution is educed by calculating the vocal and the whole similarity with the technical property. The preferred system can be provided for the processing of process.


1995 ◽  
Vol 2 (15) ◽  
Author(s):  
Devdatt P. Dubhashi ◽  
Grammati E. Pantziou ◽  
Paul G. Spirakis ◽  
Christos D. Zaroliagis

<p>Luby[10] proposed a way to derandomize randomized computations which is based on the construction of a small probability space whose elements are 3-wise independent. In this paper we prove some new properties of Luby's space. More precisely, we analyze<br />the fourth moment and prove an interesting technical property which helps to understand better Luby's distribution. As an application, we study the behavior of random edge cuts in a weighted graph.</p><p><br />Keywords: Fourth moment, full independence, k-wise independence, derandomization.</p>


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