Knowledge-based in medical decision support system based on subjective intelligence
Hamido Fujita · Journal of Medical Informatics & Technologies · 2013
Emotional Intelligence as cybernetics approach is using cognitive reasoning to collect the subjective attribute of human subject interacted with a system for providing technical advice. This talk contributes in new Cybernetics paradigm on using multidisciplinary in decision making. It is related to the construction of Avatar that can interact with human subject for collecting subjective attributes (emotional and cognitive) and objective attributes (physical), for decision making. paper extends reasoning issues on medical diagnosis related to Virtual Doctor System (VDS). Intuitionistic fuzzy aggregation functions have been used to represent concept reflective to the mental model of the VDS. The VDS project used two physical ontology model and mental ontology model aligned on medical ontology for reasoning. In this paper the mental ontology related to medical diagnosis is the main emphasis. The mental Ontology is represented as two models: Emotion state model, and ego state model. The attributes of mental state are represented as fuzzy intuitionistic criteria. The emotion state related attributes are represented using harmonic hybrid weighted Ordered Intuitionistic fuzzy aggregation function. The ego state related attributes are represented using Bonferroni hybrid weighted average aggregate function. The both aggregate functions as well as the physical ontology aggregate functions are aligned on medical knowledge based for producing aligned inquiry for reasoning in medical knowledge. The model is built for testing. Decision makers rank their criteria in relation to subjective attributes bounded by the situation of that system. These are reflecting the dynamics feature subjectivity of the situation on the system objective feature. Such style of decision making is projected on medical decision making which has a versatile subjective feature related to human patient articulated on systematic objective system of decision making related to the properties of the criteria that some of it have uncertainty values. Uncertainty main aspect comes from when we look to criteria as objective ones. The criteria would provide a sort of uncertain relations to attributes as the methods and algorithms dealing with such approach are based on black box. This is related to using objective criteria methods (TOPSIS, AHP etc.) to find a decision solution based on data set that are categorized in objective manner. The subjectivity on criteria is for looking to these data, such as to have less uncertainty that would lead to produce white box like solutions. That is to reflect on the criteria in subjective manner. The subjectivity here is looks to see for example how experience can provide a subjective consensus for providing decision to problems using subjective criteria as parametric view to decision making. This is how to represent the data in multi dimensional space (curse of dimensionality) to find subjective relation among criteria based on the subjective input.