An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space

2012 ◽  
Author(s):  
Shoaib Jameel ◽  
Wai Lam ◽  
Xiaojun Qian ◽  
Ching-man Au Yeung
Keyword(s):  
Technical Difficulty ◽  
Model Based ◽  
Latent Space ◽  
Ranking Model

Sustainable supplier selection: A ranking model based on fuzzy inference system

2012 ◽  
Vol 12 (6) ◽  
pp. 1668-1677 ◽  
Author(s):  
Atefeh Amindoust ◽  
Shamsuddin Ahmed ◽  
Ali Saghafinia ◽  
Ardeshir Bahreininejad
Keyword(s):  
Fuzzy Inference System ◽  
Supplier Selection ◽  
Fuzzy Inference ◽  
Inference System ◽  
Model Based ◽  
Sustainable Supplier Selection ◽  
Ranking Model

Signal Modeling and Classification Using a Robust Latent Space Model Based on $t$ Distributions

2008 ◽  
Vol 56 (3) ◽  
pp. 949-963 ◽  
Author(s):  
Sotirios P. Chatzis ◽  
Dimitrios I. Kosmopoulos ◽  
Theodora A. Varvarigou
Keyword(s):  
Signal Modeling ◽  
Space Model ◽  
Model Based ◽  
Latent Space ◽  
Latent Space Model

Research on Ranking Model Based on Multi-User Attribute Comprehensive Evaluation Method

2014 ◽  
Vol 644-650 ◽  
pp. 2399-2402 ◽  
Author(s):  
Xiao Lin Xu ◽  
Guang Lin Xu ◽  
Jia Li Feng
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Typical Pattern ◽  
Comprehensive Evaluation Method ◽  
Object System ◽  
Model Based ◽  
Ranking Model ◽  
Evaluation Group ◽  
Multiple Attributes

In evaluation and decision-making, for an object system with multiple attributes and indicators, it is a typical pattern to calculate an assessment value on each object using some methods to get the ranking of objects, so as to choose the best according to sorting result of the values.The paper establishes the evaluation ranking model on the basis of multi-user attribute comprehensive evaluation method which focuses on how to give a comprehensive evaluation on objects taking the users’ preferences on different attributes in an evaluation group into account,and thereby produce evaluation values and sorting results of objects.Simulation verifies the ranking model in evaluation and decision-making.

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