In this paper, we define the concepts of modified intuitionistic probabilistic metric spaces, the property (E.A.) and  the common property (E.A.) in   modified  intuitionistic probabilistic metric spaces.Then, by the commonproperty (E.A.), we prove some common fixed point theorems in modified intuitionistic Menger probabilistic metric spaces satisfying an implicit relation.

in this manuscript, we prove some coupled fixed point theoremsfor two pairs of self mappings satisfying contractive conditions of integraltype in generalized metric spaces. we furnish suitable illustrative examples.in this manuscript, we prove some coupled fixed point theoremsfor two pairs of self mappings satisfying contractive conditions of integraltype in generalized metric spaces. we furnis...

in this paper is introduced a new type of generalization of metric spaces called sb metric space. for this new kind of spaces it has been proved a common xed point theorem for four mappings which satisfy generalized contractive condition. we also present example to conrm our theorem.

in this paper, we introduce a function in order to measure the distancebetween two order intervals of fuzzy numbers, and show that this function isa metric. we investigate some properties of this metric, and finally presentan application. we think that this study could provide a more generalframework for researchers studying on interval analysis, fuzzy analysis andfuzzy decision making.

in this paper, we prove some coupled coincidence point theorems for mappings satisfying generalized contractive conditions under a new invariant set in ordered cone metric spaces. in fact, we obtain sufficient conditions for existence of coupled coincidence points in the setting of cone metric spaces. some examples are provided to verify the effectiveness and applicability of our results.

Online product recommendation agents (hereafter RAs) can provide important benefits to consumers. But whether consumers trust RAs and integrate an RA’s recommendations into their product choices has not yet been examined. Nor has there been research on whether different levels of consumer participation in using RAs lead to different levels of trust in the RA. Using an experimental design that c...

In this paper we are investigating the effect of parameter variations for a method we have previously introduced for detecting software design defects. This method uses software metrics and relational association rules to find badly designed classes. We perform five different studies, to see the effect of using normalized or original software metric values, the effect of mining only binary or a...

In this paper, we propose a new method, association rules mining for Named Entity Recognition (NER) and co-reference resolution. The method uses several morphological and lexical features such as Pronoun Class (PC) and Name Class (NC), String Similarity (SP) and Position (P) in the text, into a vector of attributes. Applied to a corpus of newspaper in the Indonesian language, the method outperf...

The continuous generation and evolution of digital learning resources is important for promoting open learning and meeting the personalized needs of learners. In the Web 2.0 era, open and collaborative authoring is becoming a popular method by which to create vast personalized learning resources in open knowledge communities (OKCs). However, the essence of openness of OKCs also gives rise to co...