A privacy-preserving group decision making expert system for medical diagnosis based on dynamic knowledge base

2020 ◽  
Author(s):  
Wuyungerile Li ◽  
Na Zong ◽  
Kaifeng Liu ◽  
Pengyu Li ◽  
Xuebin Ma
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Knowledge Base ◽  
Group Decision Making ◽  
Medical Diagnosis ◽  
Group Decision ◽  
Privacy Preserving

Artificial Intelligence in Medical Science

2014 ◽  
pp. 11-23 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Decision Making ◽  
Signal Processing ◽  
Expert System ◽  
Knowledge Base ◽  
Medical Diagnosis ◽  
Medical Science ◽  
Inference Engine ◽  
Medical Decision

Applying Artificial Intelligence (AI) for increasing the reliability of medical decision making has been studied for some years, and many researchers have studied in this area. In this chapter, AI is defined and the reason of its importance in medical diagnosis is explained. Various applications of AI in medical diagnosis such as signal processing and image processing are provided. Expert system is defined and it is mentioned that the basic components of an expert system are a “knowledge base” or KB and an “inference engine”. The information in the KB is obtained by interviewing people who are experts in the area in question.

scholarly journals A Hesitant Fuzzy Envelope Based Expert System in Human Decision Making

2021 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Panjkaj Srivastava ◽  
Rajkrishna Mondal
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Making Process ◽  
Individual Decision ◽  
Decision Style ◽  
Human Decision ◽  
Decision Making Processes ◽  
Linguistic Approach

Naturally, individual decision style is qualitative rather than quantitative settings. In nature, the human way of thinking is uncertain and fuzziness that demands the use of the linguistic approach of problems related to the decision. The group decision making process is highly affected by hesitant situations among the members for clarity-based decisions. In order to remove the hesitant situations, the proposed Hesitant Fuzzy Envelope expert system provides the group decision making processes with more realistic output in envelope form rather than CRISP one. In this study, we shall discuss a linguistic based expert system that will help to make more realistic decisions in a hesitant situation by using Hesitant Fuzzy Envelope technique.

scholarly journals THE SPHERICAL DISTANCE FOR INTUITIONISTIC FUZZY SETS AND ITS APPLICATION IN DECISION ANALYSIS

2016 ◽  
Vol 22 (3) ◽  
pp. 393-415 ◽  
Author(s):  
Zaiwu GONG ◽  
Xiaoxia XU ◽  
Yingjie YANG ◽  
Yi ZHOU ◽  
Huanhuan ZHANG
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Fuzzy Sets ◽  
Group Decision Making ◽  
Medical Diagnosis ◽  
Group Decision ◽  
Intuitionistic Fuzzy Sets ◽  
Distance Measures ◽  
Intuitionistic Fuzzy ◽  
Spherical Distance

Different from traditional distances between Intuitionistic Fuzzy Sets (IFS), the spherical distance between two IFSs relies not only on their relative differences but also their absolute values. In this paper, we generalize the properties of spherical distance measures between IFSs, and investigate the applications of spherical distance measures in group decision making, pattern recognition and medical diagnosis. We develop an optimization spherical distance model with IFS preference in group decision making, and demonstrate that this model is feasible and practical with an evaluation model of drought risk. By using comparative analysis method, we show that this new spherical distance can also be applied in other fields such as pattern recognition and medical diagnosis.

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