The development of the Internet in recent years has made it possible and useful to access
many different information systems anywhere in the world to obtain information. While there …

Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

Dealing with uncertainty is always a challenging problem, and different tools have been
proposed to deal with it. Recently, a new model that is based on hesitant fuzzy sets has …

GIS: A Computing Perspective, Second Edition, provides a full, up-to-date overview of GIS,
both Geographic Information Systems and the study of Geographic Information Science …

This book presents the advancements and applications of neutrosophics, which are
generalizations of fuzzy logic, fuzzy set, and imprecise probability. The neutrosophic logic …

In this paper, a generic rule-base inference methodology using the evidential reasoning
(RIMER) approach is proposed. Existing knowledge-base structures are first examined, and …

Belief rule based expert systems are an extension of traditional rule based systems and are
capable of representing more complicated causal relationships using different types of …

Everyday people need to make decisions, and the decision makers usually face multiple,
conflicting objectives and uncertain environments. The research about uncertain multi …

First order probabilistic logics combine a first order logic with a probabilistic knowledge
representation. In this context, we introduce continuous Bayesian logic programs, which …

Sensor networks have become an important source of data with numerous applications in
monitoring various real-life phenomena as well as industrial applications and traffic control …