Showing papers in "Fuzzy Information and Engineering in 2018"

TL;DR: In this paper, it is shown that once linear ranking function is chosen, then the fuzzy matrix game (FMG) is converted into crisp one and then it is solved easily by the proposed method.

TL;DR: The objective of this review paper is to summarise and review some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.

TL;DR: Fuzzy soft algebras like fuzzy soft ρ-subalgebra (FSρ-SA), fuzzy soft ∆-ideal (FIπ-I), and fuzzy soft ǫ-I ideal (FIPSI-I) were proposed in this article.

TL;DR: The gain variations of the controller and the stability analysis of closed-loop control system with any one of the proposed models in the loop have been investigated.

TL;DR: The main contribution is a proposed new form of parameterizing general type-2 fuzzy sets that simplifies the efficient design of this type of sets.

TL;DR: A weighted method for linear semi-infinite programming (LSIP) model to solve the original problem with fuzzy coefficients in the constraints and the objective function based on solving an associated multi-objective model is presented.

TL;DR: Experimental results show that the proposed IFS-based computational method of forecasting outperforms various existing methods for forecasting SBI, TAIEX and DJIA.

TL;DR: The novel concept of Dombi fuzzy graph is introduced and fuzzy analogs of several basic graph-theoretical concepts using Dombu operator are introduced and these results are considered on Dombo fuzzy graphs preserving strong property.

TL;DR: It is proved that type-2 hesitant fuzzy sets are the generalization of hesitant fuzzy Sets, which are better methods to solve the problems and can be easy to get better results.

TL;DR: Transformed MOLFP problem is reduced single objective Linear programming (LP) problem by using Fuzzy Mathematical programming approach and the quantities on the right side of the constraints are fuzzy random variables with the specific distribution.

TL;DR: This paper proposes a new approach to the notion of Z-number, i.e., a pair of fuzzy sets modelling a probability-qualified fuzzy statement, and two proposals are made to generalise this approach when the two sets are fuzzy.

TL;DR: The notion of fuzzy linear code, fuzzy cyclic code over a Galois ring, fuzzy Gray map and fuzzy-linear codes are defined and used to construct fuzzy -linear codes and fuzzy -cyclic codes.

TL;DR: An intuitionistic fuzzy logic-based image fusion approach has been implemented for medical images that firstly suppresses the noise and enhances the input images, and merges them efficiently in Hue-Saturation-Intensity domain.

TL;DR: It is shown that the majority property holds for fuzzy 1-median problem on a tree with fuzzy weights, and a fuzzy algorithm is presented to find the median of a fuzzy tree.

TL;DR: The proposed model provides integrated approach to make optimal decisions such as location–allocation, production, procurement and distribution subject to operational and tactical constraints and the global optimum solutions can be achieved using commercial OR softwares.

TL;DR: The developed fuzzy model evidently outperforms comparable empirical models in terms of accuracy and presents a mean absolute estimation error of 52.4% less than the most accurate existing empirical model.

TL;DR: A fuzzy rule-based approach for dynamic source selection (FDSS) that compresses the knowledge from local sources using a divide-and-conquer strategy along with the basic concepts of coverage and truth value criteria, leading to less memory requirement and faster processing.

TL;DR: To select the best supplier by integrating the opinions of both decision- makers and company's stake holders, these opinions are taken as fuzzy soft sets and integrated by the rough approximation theory.

TL;DR: The indeterminacy factor resolution principle is used to establish a duality relation which can be interpreted as a Atanassov's I-fuzzy variant of the (crisp) weak duality theorem.

TL;DR: The present article proposes to employ the trade-off ratios of membership functions to analytically determine reference membership levels in a fuzzy environment and determines the Pareto optimal solution to multi-objective stochastic linear programming (MOSLP) problems in real-life oriented fuzzy environment.

TL;DR: A rough set based age-dependent selection technique and an age-oriented min-point crossover are used along with three types of probability, p-dependent random mutations to solve constrained solid travelling salesman problems with restricted conveyances having uncertain costs and times as interval values.

TL;DR: In this article, the authors deal with problems of decision making where we need to give an order of alternatives and the rewards (number of points earned in a race) are not associated with the criteria, but with posit...

TL;DR: This article begins with Prof. Zadeh's cooperation and support with the Journal and me, recalling his love for us, hoping to look back at his voice and smile, recollecting his enthusiasm for his speech, and collecting papers from his friends in their research achievements.

TL;DR: A fuzzy protocol for a decision-making problem on the choice of location for establishing a production unit from a set of possible locations with no case leading to indecision is presented.

TL;DR: Yogesara V, Srinivas G, Rath B. as mentioned in this paper defined Fs-Cartesian product of given family Fs subsets of give Fs set and proved Axiom of choice for Fs sets and study the validity of converse of the Axiom-of-choice for fs-sets.

TL;DR: The notion of local starplus-compactness on an L-fuzzy topological space, which is an extension of local compactness in general topology, is introduced in this paper.

TL;DR: The factorial probability is introduced and transfers typical probability density to typical falling membership curves and a subjective scoring system used on fuzzy evaluation and decision-making is suggested.

TL;DR: A new approach for Single-Input and Single-Output (SISO) and Multi- input and multi-output (MIMO) interval type-2 TSK systems, which is based on the Hybrid Compensation Control (HCC) approach is proposed.

TL;DR: In this paper, the concept of natural extension is introduced which is then applied in the development of fuzzy theorems from crisp versions, which is a continuation of the work of Tom Head.

TL;DR: In this paper, the notion of single-valued neutrosophic proximity spaces is introduced, which is a generalisation of fuzzy proximity spaces, and the concept of fuzzy spaces can be viewed as a special case of the concept described in this paper.