Indeterminacy makes the main distinction between fuzzy/intuitionistic fuzzy (and other extensions of fuzzy) set/logic vs. neutrosophic set/logic, and classical probability probability. Also, statistics plithogenic statistics, algebraic structures structures, crisp numbers numbers. We present a broad definition indeterminacy, various types indeterminacies, many practical applications.

Uncertainty and indeterminacy are two major problems in data analysis these days. Neutrosophy is a generalization of the fuzzy theory. Neutrosophic system is based on indeterminism and falsity of concepts in addition to truth degrees. Any neutrosophy variable or concept is defined by membership, indeterminacy and non-membership functions. Finding efficient and accurate definition for neutrosoph...

Using an efficiency-wage model, we examine the relationship between indeterminacy and unemployment insurance. It is shown that the less unemployment insurance is, the more likely equilibrium is to be indeterminate. Equilibrium can be indeterminate even without externalities or increasing returns, which makes a sharp contrast to the recent literature on indeterminacy. Our result is based on the ...

IS projects success is a complex concept, and its evaluation is complicated, unstructured and not readily quantifiable. Numerous scientific publications address the issue of success in the IS field as well as in other fields. But, little efforts have been done for processing indeterminacy and uncertainty in success research. This paper shows a formal method for mapping success using Neutrosophi...

In this paper we prove that Neutrosophic Statistics is an extension of the Interval Statistics, since it may deal with all types indeterminacies (with respect to data, inferential procedures, probability distributions, graphical representations, etc.), allows reduction indeterminacy, and uses neutrosophic more general than imprecise classical probabilities, andhas detailed corresponding density...