This paper presents a survey on methods for solving fuzzy linear programs. First LP models with soft constraints are discussed. Then LP problems in which coefficients of constraints and/or of the objective function may be fuzzy are outlined. Pivotal questions are the interpretation of the inequality relation in fuzzy constraints and the meaning of fuzzy objectives. In addition to the commonly a...

This paper presents two consecutive constraint representation and processing systems for artificial intelligence applications. The main aim of the two systems is to provide powerful knowledge representation facilities in the form of constraints. The facilities taken into account include generic constraints, parameterization, hierarchization, a specialized language for declaring the functionalit...

Businesses document their operational processes as process models. The common practice is to represent process models as directed graphs. The nodes of a process graph represent activities and directed edges constitute activity ordering constraints. A flexible process graph modeling approach proposes to generalize process graph structure to a hypergraph. Obtained process structure aims at formal...

This article proposes a flexible tracker which can estimate motions and deformations of 3D objects in images by considering their appearances as nonrigid surfaces. In this approach, a flexible model is built by matching local features (key-points) over training sequences and by learning the deformations of a spline based model. A statistical model captures the variations of object appearance ca...

It has been argued that the use of constraint-based techniques and tools enables the implementation of precise, flexible, efficient and extensible scheduling systems: precise and flexible as the system can take into account any constraint expressible in the constraint language; efficient inasmuch as highly optimized constraint propagation procedures are now available; extensible as the consider...