As a combination of the hesitant fuzzy set (HFS) and the single valued neutrosophic set (SVNS), the single valued neutrosophic hesitant fuzzy set (SVNHFS) is an important concept to handle uncertain and vague information existing in real-life, which consists of three membership functions including hesitancy, as the truth-hesitancy membership function, the indeterminacy-hesitancy membership func...

This paper presents a supervised training algorithm that implements fuzzy reasoning on a spiking neural network. Neuron selectivity is facilitated using receptive fields that enable individual neurons to be responsive to certain spike train firing rates and behave in a similar manner as fuzzy membership functions. The connectivity of the hidden and output layers in the fuzzy spiking neural netw...

Fuzzy rule interpolation (FRI) is well known for reducing the complexity of fuzzy models and making inference possible in sparse rule-based systems. However, in practical fuzzy applications with inter-connected rule bases, situations may arise when a crucial antecedent of observation is absent, either due to human error or difficulty in obtaining data, while the associated conclusion may be der...

The aim of this note, popular in nature, is to generate some interests in fuzzy logic and approximate reasoning theory. To do this we show that fuzzy logic is an useful tool to give a solution to some famous paradoxes as the Heap paradox, the Bald Man paradox and Poincaré paradox of the indiscernibility (see Goguen [1968/69], Höhle [1991], Gerla [2008]). Also, we suggest new paradoxes. These pa...

We describe Amharic-English cross lingual information retrieval experiments in the adhoc bilingual tracs of the CLEF 2006. The query analysis is supported by morphological analysis and part of speech tagging while we used different machine readable dictionaries for term lookup in the translation process. Out of dictionary terms were handled using fuzzy matching and Lucene[4] was used for indexi...

Despite the fact that sharing pictures and recordings are well known, messages and blog articles still remain as an essential part to express feelings. Contrasted with exploration of feeling identification in multimodal fields, sentiment discovery from text is still unexplored and requires more changes to be amassed as useful applications. That is why need of effectual classification algorithm ...

For articulated vehicles met in robotics and transportation fields, even for an experienced operator, backing-up leads usually to jack-knifing. This paper presents a fuzzy logic controller for back-driving a truck-trailer vehicle into a predefined parking task. The truck-trailer link system is equipped with a kingpin sliding mechanism acting as an anti-jackknife excitation input. By applying fu...

Evidence Theory is an important tool of uncertainty modelling when both epistemic and aleatory uncertainties are present in the problem under consideration. In the absence of empirical data, experts in related fields provide necessary information. The fundamental objects of this theory of evidence are called focal elements, and the primitive function associated with it is called basic probabili...

This publication is the fruit of a collaborative research between academics from the marketing and the artificial intelligence fields. It presents a brand new methodology to be applied in marketing (causal) modeling. Specifically, we apply it to a consumer behavior model used for the experimentation. The characteristics of the problem (with uncertain data and available knowledge from a marketin...

We present a numerical study of a two dimensional model of the Wess-Zumino type. We formulate this model on a sphere, where the fields are expanded in spherical harmonics. The sphere becomes fuzzy by a truncation in the angular momenta. This leads to a finite set of degrees of freedom without explicitly breaking the space symmetries. The corresponding field theory is expressed in terms of a mat...