Volume 23 (2026)
Volume 22 (2025)
Volume 21 (2024)
Volume 20 (2023)
Volume 19 (2022)
Volume 18 (2021)
Volume 17 (2020)
Volume 15 (2018)
Volume 14 (2017)
Volume 13 (2016)
Volume 12 (2015)
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)
A robust aggregation operator for multi-criteria decision-making method with bipolar fuzzy soft environment

C. Jana; M. Pal; J. Wang

Volume 16, Issue 6 , November and December 2019, Pages 1-16

Abstract
  Molodtsov initiated soft set theory that provided a general mathematicalframework for handling with uncertainties in which we encounter the data by affix parameterized factor during the information analysis as differentiated to fuzzy as well as bipolar fuzzy set theory.The main object of this paper ...  Read More

Neuro-fuzzy control of bilateral teleoperation system using FPGA

H. Khati; H. Talem; R. Mellah; A. Bilek

Volume 16, Issue 6 , November and December 2019, Pages 17-32

Abstract
  This paper presents an adaptive neuro-fuzzy controller ANFIS (Adaptive Neuro-Fuzzy Inference System) for a bilateral teleoperation system based on FPGA (Field Programmable Gate Array). The proposed controller combines the learning capabilities of neural networks with the inference capabilities of fuzzy ...  Read More

A computational method to analyze the similarity of biological sequences under uncertainty

A. Khastan; L. Hooshyar

Volume 16, Issue 6 , November and December 2019, Pages 33-41

Abstract
  In this paper, we propose a new method to analyze the difference and similarity of biological sequences, based on the fuzzy sets theory. Considering the sequence order and some chemical and structural properties, we present a computational method to cluster the biological sequences. By some examples, ...  Read More

Weak hyper semi-quantales and weak hypervalued topological spaces

K. El-Saady

Volume 16, Issue 6 , November and December 2019, Pages 43-51

Abstract
  The purpose of this paper is to construct a weak hyper semi-quantale as a generalization of the concept of semi-quantale and used it as an appropriate hyperlattice-theoretic basis to formulate new lattice-valued topological theories. Based on such weak hyper semi-quantale, we aim to construct the notion ...  Read More

Rough approximation operators based on quantale-valued fuzzy generalized neighborhood systems

F. F. Zhao; L. Q. Li; S. B. Sun; Q. Jin

Volume 16, Issue 6 , November and December 2019, Pages 53-63

Abstract
  Let $L$ be an integral and commutative quantale. In this paper, by fuzzifying the notion of generalized neighborhood systems, the notion of $L$-fuzzy generalized neighborhoodsystem is introduced and then a pair of lower and upperapproximation operators based on it are defined and discussed. It is proved ...  Read More

A new view on fuzzy automata normed linear structure spaces

V. Madhuri; B. Amudhambigai

Volume 16, Issue 6 , November and December 2019, Pages 65-74

Abstract
  In this paper, the concept of fuzzy automata normed linear structure spaces is introduced and suitable examples are provided. \;The \;concepts of fuzzy automata $\alpha$-open sphere, fuzzy automata $\mathscr{N}$-locally compact spaces, fuzzy automata $\mathscr{N}$-Hausdorff spaces are also discussed. ...  Read More

Convex structures via convex $L$-subgroups of an $L$-ordered group

H. Liu; W. Fan; S. Wang

Volume 16, Issue 6 , November and December 2019, Pages 75-87

Abstract
  In this paper, we first characterize the convex $L$-subgroup of an $L$-ordered group by means of fourkinds of cut sets of an $L$-subset. Then we consider the homomorphic preimages and the product of convex $L$-subgroups.After that, we introduce an $L$-convex structure constructed by convex $L$-subgroups.Furthermore, ...  Read More

A new framework for high-technology project evaluation and project portfolio selection based on Pythagorean fuzzy WASPAS, MOORA and mathematical modeling

V. Mohagheghi; S. M. Mousavi

Volume 16, Issue 6 , November and December 2019, Pages 89-106

Abstract
  High-technology projects are known as tools that help achieving productive forces through scientific and technological knowledge. These knowledge-based projects are associated with high levels of risks and returns. The process of high-technology project and project portfolio selection has technical complexities ...  Read More

Regularity in residuated lattices

L. C. Holdon; A. Borumand Saeid

Volume 16, Issue 6 , November and December 2019, Pages 107-126

Abstract
  In this paper, we study residuated lattices in order to give new characterizations for dense, regular and Boolean elements in residuated lattices and investigate special residuated lattices in order to obtain new characterizations for the directly indecomposable subvariety of Stonean residuated lattices. ...  Read More

On orders induced by implications

M. Nesibe Kesicioglu; F. C ogalms

Volume 16, Issue 6 , November and December 2019, Pages 127-141

Abstract
  In this paper, the orders induced by the residual implications obtained from uninorms are investigated. A necessary and sufficient condition is presented so that the ordinal sum of fuzzy implications satisfies the law of importation with a t-norm $T$. Some relationships between the orders induced by ...  Read More

Completeness of Hutton $[0,1]$-quasi-uniformities induced by a crisp uniformity

J. Rodrguez-Lopez; S. Romaguera; M. Sanchis

Volume 16, Issue 6 , November and December 2019, Pages 143-158

Abstract
  In \cite{Kats84}, Katsaras introduced a method for constructing a Hu\-tton $[0,1]$-quasi-uniformity from a crisp uniformity. In this paper we present other different methods for making this based mainly in the concept of a fuzzy uniform structure. Furthermore, we prove that some of these methods preserve ...  Read More

New distance and similarity measures for hesitant fuzzy soft sets

K. Rezaei; H. Rezaei

Volume 16, Issue 6 , November and December 2019, Pages 159-176

Abstract
  The hesitant fuzzy soft set (HFSS), as a combination of hesitant fuzzy and soft sets, is regarded as a useful tool for dealing with the uncertainty and ambiguity of real-world problems. In HFSSs, each element is defined in terms of several parameters with arbitrary membership degrees. In addition, distance ...  Read More

Robustified distance based fuzzy membership function for support vector machine classification

M. Mohammadi; M. Sarmad

Volume 16, Issue 6 , November and December 2019, Pages 191-204

Abstract
  Fuzzification of support vector machine has been utilized to deal with outlier and noise problem. This importance is achieved, by the means of fuzzy membership function, which is generally built based on the distance of the points to the class centroid. The focus of this research is twofold. Firstly, ...  Read More