Fuzzy Information and Engineering

Roy, Partha; Kumar, Ramesh; Sharma, Sanjay

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.002

AbstractInformation retrieval systems are generally used to find documents that are most appropriate according to some query that comes dynamically from users. In this paper a novel Fuzzy Document based Information Retrieval Model (FDIRM) is proposed for the purpose of Stock Market Index forecasting. The novelty of proposed approach is a modified tf-idf scoring scheme to predict the future trend of the stock market index. The contribution of this paper has two dimensions, 1) In the proposed system the simple time series is converted to an enriched fuzzy linguistic time series with a unique approach of incorporating market sentiment related information along with the price and 2) A unique approach is followed while modeling the information retrieval (IR) system which converts a simple IR system into a forecasting system. From the performance comparison of FDIRM with standard benchmark models it can be affirmed that the proposed model has a potential of becoming a good forecasting model. The stock market data provided by Standard & Poor’s CRISIL NSE Index 50 (CNX NIFTY-50 index) of National Stock Exchange of India (NSE) is used to experiment and validate the proposed model. The authentic data for validation and experimentation is obtained from http://www.nseindia.com which is the official website of NSE. A java program is under construction to implement the model in real-time with graphical users’ interface.

Darabian, Elham; Borzooei, Rajab Ali; Rashmanlou, Hossein; Azadi, Mehrdad

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.003

AbstractIn this paper, some types of vague graphs are introdaced such as -regular, -regular, -highly irregular and -highly totally irregular vague graphs are introduced and some properties of them are discussed. Comparative study between -regular (-highly irregular) vague graph and -regular (-highly totally irregular) vague graph are done. In addition, -regularity and -highly irregularity on some vague graphs, which underlying crisp graphs are a cycle or a path is also studied. Finally, some applications of regular vague graphs are given for demonstration of fullerene molecules, road transport network and wireless multihop networks.

Joshi, Rajesh; Kumar, Satish

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.004

AbstractThe theory of intuitionistic fuzzy sets (IFSs) is well suitable to deal with vagueness and hesitancy. In the present communication, a new parametric -norm intuitionistic fuzzy entropy is proposed with the proof of validity and some of its properties also discussed. The intuitionistic fuzzy entropy is useful to represent the decision information in decision making process since it is characterized by the degree of satisfiability, degree of non-satisfiability and hesitancy degree. Based on this proposed IF entropy, a new multiple attribute decision making (MADM) method is introduced and compared with an existing method. In case of attributes weight, two cases (one with completely unknown attributes weight and other with partially known attributes weight) are discussed with the help of examples. In the end, a case study of insurance companies on the basis of service qualitities is given.

Tayebi Khorami, R.; Boruman Saeid, A.

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.005

AbstractIn this paper, we introduce the notions of multiplier, -closure operator and modal operator on hoop-algebras. After that, we investigate some algebraic properties of multiplier, -closure operator and modal operator on hoop-algebras. Then we study relationships between multiplier and closure operator on hoop-algebras showing that, any monotone modal operator on hoop-algebra serves as a closure operator. Finally we represent image of hoop-algebra under the closure operator can be a hoop-algebra.

Prasad, B.; Katiyar, K.

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.006

AbstractThe Hutchinson-Barnsley (HB) operators are studied for multi iterated function system in a general setting. Some existence and uniqueness results are obtained in fuzzy fractal and multi fuzzy fractal spaces. From them, we obtain our results, which generalize some recent results in the literature.

Ashrafi, A.; Mansouri Kaleibar, M.

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.007

AbstractOne of the most important information given by data envelopment analysis models is the cost, revenue and profit efficiency of decision making units (DMUs). Cost efficiency is defined as the ratio of minimum costs to current costs, while revenue efficiency is defined as the ratio of maximum revenue to current revenue of the DMU. This paper presents a framework where data envelopment analysis (DEA) is used to measure cost, revenue and profit efficiency with fuzzy data. In such cases, the classical models cannot be used, because input and output data appear in the form of ranges. When the data are fuzzy, the cost, revenue and profit efficiency measures calculated from the data should be uncertain as well. Fuzzy DEA models emerge as another class of DEA models to account for imprecise inputs and outputs for DMUs. Although several approaches for solving fuzzy DEA models have been developed, numerous deficiencies including the -cut approaches and types of fuzzy numbers must still be improved. This scheme embraces evaluation method based on vector for proposed fuzzy model. This paper proposes generalized cost, revenue and profit efficiency models in fuzzy data envelopment analysis. The practical application of these models is illustrated by a numerical example.

Kumar, Sanjay; Joshi, Deepa

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.008

AbstractIn this paper, we present a computational method to fuzzy group decision making problems. A function that satisfies the properties of fuzzy ideal of semiring of positive integers is also investigated in the present paper and is used for idealizing the group preference matrix obtained by different decision makers. The proposed method appears in form of simple computational algorithms to idealize the group preference matrix and calculating total order of preference relation. Finally, the suitability of the proposed method is shown by taking an example of a human resource development (HRD) event, where it is used to select the best possible candidate by different decision makers.

Nasseri, Seyed Hadi; Taghi-Nezhad, Nemataollah; Ebrahimnejad, Ali

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.009

AbstractIn this study, we show that ranking fuzzy numbers with the area method using circumcenter of centroids presented by Rao and Shankar failed to rank effectively the generalized fuzzy numbers. By proving a theorem and using some numerical examples, we demonstrate that their proposed method cannot rank consistently some fuzzy numbers or is not consistent with human intuition.

Lohmander, Peter

2017 Fuzzy Information and Engineering

doi: 10.1016/j.fiae.2017.06.010