In this paper, a new interval-valued fuzzy multi-criteria group decision-making model is proposed to evaluate each of the energy plans with sustainable development criteria for proper energy plan selection. The purpose of this study is divided into two parts: first, it is aimed at determining the weights of evaluation criteria for sustainable energy planning and second at rating sustainable ene...

Inductive Logic Programming (ILP) is often situated as a research area emerging at the intersection of Machine Learning and Logic Programming (LP) This paper makes the link more clear between ILP and LP, in particular, between ILP and Abductive Logic Programming (ALP), 1 e , LP extended with abductive reasoning We formulate a generic framework for handling incomplete knowledge This framework ca...

We present a novel two-stage technique for detecting speech disfluencies based on Integer Linear Programming (ILP). In the first stage we use state-of-the-art models for speech disfluency detection, in particular, hidden-event language models, maximum entropy models and conditional random fields. During testing each model proposes possible disfluency labels which are then assessed in the presen...

We propose an integer linear programming (ILP) formulation for the minimum relay break point set (BPS) computation. Subsequently, in the ILP framework, we propose an alternate maximum-independent relay BPS formulation with the intention of minimizing dependency within the BPS. We show that 1) in practice, the relaxed version of the ILP suffices to obtain an integral vertex and 2) the relaxed ve...

Method: Cognitive functions were examined in 30 patients with bipolar disorder aged 18–68 who fulfilled DSMIV criteria for a depressive episode (Hamilton Depression Rating Scale score ≥11) and 30 patients aged 23– 68 who fulfilled DSM-IV criteria for a manic or hypomanic episode (Young Mania Rating Scale ≥11). The comparison group consisted of 30 healthy individuals aged 23–71 with no history o...

We introduce a new method for modeling rating (utility) functions which employs techniques from fuzzy set theory. The main idea is to build a hierarchical model, called a fuzzy operator tree (FOT), by recursively decomposing a rating criterion into sub-criteria, and to combine the evaluations of these sub-criteria by means of suitable aggregation operators. Apart from the model conception itsel...

This is to present work on applying Inductive Logic Programming (ILP) to the task of BaseNP chunking. After ILP and NP Chunking are discussed, the experimental setup for using ILP to construct a BaseNP tagger in Prolog is described. Finally, the results are quantitatively as well as qualitatively analysed.