Proposal for Applicability of Neutrosophic Set Theory in Medical AI

Soft computing is an enriching domain that helps to encode uncertainty and imprecision that exists in real world. Integration of soft computing techniques in the systems lends added advantage to the existing systems to allow solutions to otherwise unsolvable problems. Fuzzy architecture has been extensively researched and applied in medical domain. This paper suggests incorporating a new logic: Neutrosophic logic in medical domain and also discusses the possibility of extending the capabilities of the fuzzy systems by employing neutrosophic systems. General Terms Medical AI

[1]  C Hughes The representation of uncertainty in medical expert systems. , 1989, Medical informatics = Medecine et informatique.

[2]  Augustine O. Esogbue,et al.  Fuzzy sets and the modelling of physician decision processes, part II: fuzzy diagnosis decision models , 1980 .

[3]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[5]  Wolfgang Nejdl,et al.  Abstract temporal diagnosis in medical domains , 1997, Artif. Intell. Medicine.

[6]  John F. Hurdle,et al.  Lightweight fuzzy processes in clinical computing , 1997, Artif. Intell. Medicine.

[7]  Madan M. Gupta,et al.  Approximate reasoning in decision analysis , 1982 .

[8]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[9]  Friedrich Steimann,et al.  Fuzzy set theory in medicine , 1997, Artif. Intell. Medicine.

[10]  Evangelos Triantaphyllou,et al.  Fuzzy logic in computer-aided breast cancer diagnosis: analysis of lobulation , 1997, Artif. Intell. Medicine.

[11]  Marcel Stoica,et al.  Fuzzy sets and their applications , 2008 .

[12]  P. R. Innocent Fuzzy Symptoms and a Decision Support Index for the Early Diagnosis of Confusable Diseases , 2001 .

[13]  Yahachiro Tsukamoto,et al.  AN APPROACH TO FUZZY REASONING METHOD , 1993 .

[14]  H. Stegall,et al.  Cardiovascular investigations and fuzzy sets theory. , 1975, The American journal of cardiology.

[15]  Florentin Smarandache,et al.  A unifying field in logics : neutrosophic logic : neutrosophy, neutrosophic set, neutrosophic probability , 2020 .

[16]  K. Adlassnig A Fuzzy Logical Model of Computer-Assisted Medical Diagnosis , 1980, Methods of Information in Medicine.

[17]  Jacques Wainer,et al.  Fuzzy Temporal/Categorical Information in Diagnosis , 1999, Journal of Intelligent Information Systems.

[18]  Günther Rau,et al.  Design and validation of an intelligent patient monitoring and alarm system based on a fuzzy logic process model , 1997, Artif. Intell. Medicine.

[19]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[20]  Dwayne R. Westenskow,et al.  Fuzzy logic for model adaptation of a pharmacokinetic-based closed loop delivery system for pancuronium , 1997, Artif. Intell. Medicine.