A fuzzy logic inference model for a rule-based system in medical diagnosis

1990 ◽  
Vol 7 (3) ◽  
pp. 134-141 ◽  
Author(s):  
Elisabetta Binaghi
Author(s):  
V. S. Giridhar Akula

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.


Fuzzy Systems ◽  
2017 ◽  
pp. 906-933
Author(s):  
V. S. Giridhar Akula

A rule-based system is a set of “if-then” statements that uses a set of assertions, to which rules on how to act upon those assertions are created. Rule-based expert systems have played an important role in modern intelligent systems and their applications in strategic goal setting, planning, design, scheduling, fault monitoring, diagnosis, and so on. The theory of decision support system is explained in detail. This chapter explains how the concepts of fuzzy logic are used for forward and backward chaining. Patient data is analyzed with the help of inference rules.


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