Volume 23 (2026)
Volume 22 (2025)
Volume 21 (2024)
Volume 20 (2023)
Volume 19 (2022)
Volume 18 (2021)
Volume 17 (2020)
Volume 16 (2019)
Volume 15 (2018)
Volume 14 (2017)
Volume 13 (2016)
Volume 11 (2014)
Volume 10 (2013)
Volume 9 (2012)
Volume 8 (2011)
Volume 7 (2010)
Volume 6 (2009)
Volume 5 (2008)
Volume 4 (2007)
Volume 3 (2006)
Volume 2 (2005)
Volume 1 (2004)
Functorial semantics of topological theories

Sergey A. Solovyov

Volume 12, Issue 5 , September and October 2015, Pages 1-43

Abstract
  Following the categorical approach to universal algebra through algebraic theories, proposed by F.~W.~Lawvere in his PhD thesis, this paper aims at introducing a similar setting for general topology. The cornerstone of the new framework is the notion of emph{categorically-algebraic} (emph{catalg}) emph{topological ...  Read More

CVaR Reduced Fuzzy Variables and Their Second Order Moments

Xue-Jie Bai; Yan-Kui Liu

Volume 12, Issue 5 , September and October 2015, Pages 45-75

Abstract
  Based on credibilistic value-at-risk (CVaR) of regularfuzzy variable, we introduce a new CVaR reduction method fortype-2 fuzzy variables. The reduced fuzzy variables arecharacterized by parametric possibility distributions. We establishsome useful analytical expressions for mean values and secondorder ...  Read More

Linear matrix inequality approach for synchronization of chaotic fuzzy cellular neural networks with discrete and unbounded distributed delays based on\ sampled-data control

P. Balasubramaniam-pour; K. Ratnavelu; M. Kalpana

Volume 12, Issue 5 , September and October 2015, Pages 77-98

Abstract
  In this paper, linear matrix inequality (LMI) approach for synchronization of chaotic fuzzy cellular neural networks (FCNNs) with discrete and unbounded distributed delays based on sampled-data controlis investigated. Lyapunov-Krasovskii functional combining with the input delay approach as well as the ...  Read More

Hierarchical Functional Concepts for Knowledge Transfer among Reinforcement Learning Agents

A. Mousavi; M. Nili Ahmadabadi; H. Vosoughpour; B. N. Araabi; N. Zaare

Volume 12, Issue 5 , September and October 2015, Pages 99-116

Abstract
  This article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for Reinforcement Learning agents. These definitions are used as a tool of knowledge transfer among agents. The agents are assumed to be heterogeneous; they have different state spaces ...  Read More

Non-Newtonian Fuzzy numbers and \related applications

Ugur Kadak

Volume 12, Issue 5 , September and October 2015, Pages 117-137

Abstract
  Although there are many excellent ways presenting the principle of the classical calculus, the novel presentations probably leads most naturally to the development of the non-Newtonian calculus. The important point to note is that the non-Newtonian calculus is a self-contained system independent of any ...  Read More

Order intervals in the metric space\ of fuzzy numbers

S. Aytar

Volume 12, Issue 5 , September and October 2015, Pages 139-147

Abstract
  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 ...  Read More

A note on soft topological spaces

Fu-Gui Shi; Bin Pang

Volume 12, Issue 5 , September and October 2015, Pages 149-155

Abstract
  This paper demonstrates the redundancies concerning the increasing popular ``soft set" approaches to general topologies. It is shown that there is a complement preserving isomorphism (preserving arbitrary $widetilde{bigcup}$ and arbitrary $widetilde{bigcap}$) between the lattice ($mathcal{ST}_E(X,E),widetilde{subset}$) ...  Read More