Uncertainties in acquisition, processing, market, and other stages of the closed-loop supply
chain have greatly added to the complexity of remanufacturing and have reduced process …

Publisher Summary This chapter reviews that continuous constraint solving has been widely
studied in several fields of applied mathematics and computer science. In computer algebra …

Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

The main subject of this work is mathematical and computational aspects of modeling of
static systems under interval uncertainty and/or ambiguity. A cornerstone of the new …

To make a decision, we must find out the user's preference, and help the user select an
alternative which is the best—according to these preferences. Traditional utility-based …

A logical statement has a value that is either true or false, t or f for short. Such statements can
be combined in logical expressions by logical operators. In this treatise the logical operators …

This book contains recent research on interval methods for solving nonlinear constraint
satisfaction, optimization and similar problems. It presents a comprehensive survey of …

The basic idea of Interval Mathematics is that ordinary set-theoretical intervals IR/provide a
consistent support for numerical computing. The set-theoretical form of Interval Analysis has …

Background: The popularity of continuous subcutaneous insulin infusion (CSII), or insulin
pump therapy, as a way to deliver insulin more physiologically and achieve better glycemic …

Different representations of imprecise probabilities have been proposed, where interval-
valued probabilities are used such that uncertainty is distinguished from variability. In this …