Multiple Attribute Decision Model for Interval Number Sequence Correlation Analysis of Grid Investment

Author(s):  
Shujuan Chen ◽  
Yichao Huang ◽  
Qin Jiang ◽  
Aili Pang ◽  
Yuqing He ◽  
...  
Kybernetes ◽  
2006 ◽  
Vol 35 (7/8) ◽  
pp. 1265-1272 ◽  
Author(s):  
Yaoguo Dang ◽  
Sifeng Liu ◽  
Chuanmin Mi

2016 ◽  
Vol 2 (3) ◽  
pp. 127
Author(s):  
Indri Astriyani ◽  
Muhammad Syamsun ◽  
R. Dikky Indrawan

Magnum Manufacturers need to consider the differences between women and men in decision-making purchase of Magnum ice cream. On this basis, the purpose of this study was to (1) Magnum television advertising effectiveness analysis in communicating the advertising message by gender in student-Tier 1, Bogor Agricultural University, (2) analyze the factors that influence the purchase of real students by gender in the purchase Wall's Magnum ice cream by student stratum-1 Institut Pertanian Bogor. Analysis of the data used are Consumer Decision Model (CDM) and Canonical Correlation Analysis with the help of MINITAB 14, SPSS for Windows version 16.0 , Ms Excel and STATISTICA 8.Results of canonical correlation analysis based on respondents generally produced three factors that most influence the purchase of real to buy Magnum ice cream, namely factors friend (0666), knowledge of attributes (0519), trust (0515), and advertising (0.56).The results of the analysis of students based on canonical correlation produced three factors that influence the purchase of real to buy cream of Magnum of ice, i.e., factor of student (0.816), confidence (0.736), and personality (0.725). In students, the most influential factor is the factor of sales people and advertisements.


2019 ◽  
Vol 2019 ◽  
pp. 1-19 ◽  
Author(s):  
Aiting Yao ◽  
Junjun Mao ◽  
Minchao Wu ◽  
Tao Wu

Cognitive information can be described by Z-number fully and effectively. However, many problems of Z-number need to be further studied. In this paper, two hidden probability models for calculating Z-number are established to provide more intuitive and abundant information. Next, the dominance degree relationship of Z-number is developed and subdivided. Furthermore, combined with the hidden probability of calculation, three different measurements of dominance degree are defined from three levels of geometry, algebra, and cross entropy based on the outranking relationship. The influencing factors are analyzed for different combinations of two probability models and three dominance degree measures. A multiattribute decision model is established on the basis of new grey association analysis and QUALIFLEX method. Finally, a decision example is given to verify the effectiveness and feasibility of the method. And sensitivity analysis is made to determine the impact of parameters and hidden probability on the decision model.


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