Comparing uncertainty data in epistemic and ontic sense used to decision making problem

Risk-informed decision-making in the presence of epistemic uncertainty

Managing Multiple Sources of Epistemic Uncertainty in Engineering Decision Making

Managing uncertainty is an integral part of making well-informed engineering decisions. When formulating a design problem, many of the variables and models contain epistemic uncertainty, uncertainty due to lack of knowledge. If this lack of knowledge is significant, it may be advantageous to acquire additional information before making a design decision. In this paper, we develop a framework fo...

Diagnostic Problem Solving via Planning with Ontic and Epistemic Goals

Diagnostic problem solving involves a myriad of reasoning tasks associated with the determination of diagnoses, the generation and execution of tests to discriminate diagnoses, and the determination and execution of actions to alleviate symptoms and/or their root causes. Fundamental to diagnostic problem solving is the need to reason about action and change. In this work we explore these myriad...

Epistemic and Ontic Quantum Realities

Quantum theory has provoked intense discussions about its interpretation since its pioneer days, beginning with Bohr’s view of quantum theory as a theory of knowledge. We show that such an epistemic perspective can be consistently complemented by Einstein’s ontically oriented position.

Decision Making with Uncertainty and Data Mining

Complex networks and networked data mining p. 10 In-depth data mining and its application in stock market p. 13 Relevance of counting in data mining tasks p. 14 Term graph model for text classification p. 19 A latent usage approach for clustering Web transaction and building user profile p. 31 Mining quantitative association rules on overlapped intervals p. 43 An approach to mining local causal...

UNCERTAINTY DATA CREATING INTERVAL-VALUED FUZZY RELATION IN DECISION MAKING MODEL WITH GENERAL PREFERENCE STRUCTURE

The paper introduces a new approach to preference structure, where from a weak preference relation derive the following relations:strict preference, indifference and incomparability, which by aggregations and negations are created and examined. We decomposing a preference relation into a strict preference, anindifference, and an incomparability relation.This approach allows one to quantify diff...