Real-world decision-making problems are often complex and indeterminate. Thus,
uncertainty and hesitancy are usually unavoidable issues being experienced by decision …

In this work a fuzzy linguistic prolog language is presented and its design, implementation
and applications are detailed. A fuzzy linguistic prolog is a fuzzy prolog which allows to work …

Abstract Uncertainty in Logic Programming has been investigated since about 25 years,
publishing papers dealing with various approaches to semantics and different applications …

Similarity-based Logic Programming (briefly, SLP) has been proposed to enhance the LP
paradigm with a kind of approximate reasoning which supports flexible information retrieval …

The explosive growth of the Web and the consequent exigency of the Web personalization
domain have gained a key position in the direction of customization of the Web information …

Uncertainty in logic programming has been widely investigated in the last decades, leading
to multiple extensions of the classical logic programming paradigm. However, few of these …

Due to the need of the logical foundation for uncertain information processing, development
of efficient automated reasoning system based on non-classical logics is always an active …

Abstract Proximity-based Logic Programming is a formal framework for representing general
or non-specialized knowledge. Although it is a powerful tool, it is too complex because the …

24 Y. Liu et al. assumes implication values in a general complete mathematical lattice
toward enhancing the representation of ambiguity in reasoning. This work introduces a LIA …

Research on the field of uncertainty in logic programming has evolved during the last 25
years. In a recent paper [M. Rodríguez-Artalejo and CA Romero-Díaz. Quantitative logic …