In this paper, target differentiation based on pattern of data which are obtained by a set of two ultrasonic sensors is considered. A neural network based target classifier is applied to these data to categorize the data of each sensor. Then the results are fused together by Dempster–Shafer theory (DST) and Dezert–Smarandache theory (DSmT) to make final decision. The Generalized Aggregated Unce...

make or buy decision is one of the main areas of decision making for managers. transaction cost economics (tce), as an influential economic approach to the theory of the firm, tries to put forward a theoretical framework for this important decision. from tce perspective, the greater the asset specificity, the more the behavioral uncertainty and the more the transaction frequency, the more will ...

Uncertainty theory is a branch of mathematics for modeling human uncertainty. This paper will answer the following questions: What is uncertainty? In what situations does uncertainty arise? What is the difference between uncertain variable and uncertain set? This paper will also discuss the relations and differences among uncertainty, fuzziness and probability. c ⃝2012 World Academic Press, UK....

The decision theory is defined typically as the combination of utility theory and probability theory. In this paper we generalize the decision theory as the performance measure theory and uncertainty theory. Intelligent agents look for approximate optimal decisions under bounded resources and uncertainty. The $-calculus process algebra for problem solving applies the cost performance measures t...

uncertainty inherent in the financial market was usually consid- ered to be random. however, randomness is only one special type of uncer- tainty and appropriate when describing objective information. for describing subjective information it is preferred to assume that uncertainty is fuzzy. this paper defines the expected payoof trading strategies in a fuzzy financial market within the framewor...

Quantum measurements are inherently probabilistic and quantum theory often forbids to precisely predict the outcomes of simultaneous measurements. This phenomenon is captured quantified through uncertainty relations. Although studied since inception theory, problem determining possible expectation values a collection remains, in general, unsolved. By constructing close connection between observ...

This work examines the applicability of Uncertainty Quantification (UQ) in Game Theory. We consider classical games “matching pennies” and “Hawk an Dove” situations involving uncertainty. The first game examined is pennies”: a situation concerns where probabilities choice between Heads Tails are unknown must be determined from observations. A second fluctuations implementation Nash equilibrium....

Uncertainty theory is a branch of axiomatic mathematics that deals with human uncertainty, and uncertain variable is used tomodel the uncertain quantities. Inverse uncertainty distribution provides an easy way to calculate the functions of uncertain variables as well as their expected values. This paper mainly presents a formula to calculate the variance of an uncertain variable via the inverse...