Journal of Intelligent & Fuzzy Systems - Volume 31, issue 1

Authors: Altinok, Hifsi | Yagdiran, Damla

Article Type: Research Article

Abstract: In this paper, we define the spaces N θ β ( p , F , Δ m ) , S θ β ( F , Δ m ) , w p β ( F , Δ m ) for sequences of fuzzy numbers using generalized difference operator Δ m and a lacunary sequence θ and give some relations between them, where β  ∈ (0, 1] and p  > 0. Furthermore, in the last section of paper, some inclusion theorems are presented …related to the spaces S θ β ( F , Δ m ) and w p β ( θ , f , F , Δ m ) according to modulus function f . Show more

Keywords: Fuzzy number, sequence of fuzzy numbers, statistical convergence, lacunary sequence, Cesàro summability, modulus function

DOI: 10.3233/IFS-162136

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 227-235, 2016

Authors: Shanthi, S. Amala | Sulochana, C. Helen | Jerome, S. Albert

Article Type: Research Article

Abstract: A vital task in image denoising is to preserve edges and image features while removing noise. This paper presents an efficient algorithm for noise removal by incorporating an adaptive bilateral filter in the subsampled pyramid and nonsubsampled directional filter bank (SPNSDFB). This filter bank decomposes the noisy image into subbands of different frequency and orientation. Owing to its multiscale, multidirectional and lack of shift variance capability, it provides an efficient representation of intrinsic geometric structures of an image. By the fusion of the bilateral filter in SPNSDFB domain and optimum selection of parameters of the adaptive bilateral filter, the proposed …algorithm minimizes mean square error (MSE) between the original image and the denoised image even at high noise densities. Experimental results show that the algorithm is found to be competitive in denoising performance due to its better edge preservation and improves peak signal-to-noise-ratio and image visual impression. Show more

Keywords: Directional filter bank (DFB), subsampled pyramid (SP), nonsubsampled directional filter bank (NSDFB), fan filter

DOI: 10.3233/IFS-162137

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 237-247, 2016

Authors: Kalra, Nidhi | Kumar, Ajay

Article Type: Research Article

Abstract: Motivated by the concept of fuzzy finite automata and fuzzy pushdown automata, we investigate a novel fuzzy state grammars and fuzzy deep pushdown automata concept. This concept represents a natural extension of contemporary state grammar and deep pushdown automaton, making them more robust in terms of imprecision, errors, and uncertainty. It has been proved that we can construct fuzzy deep pushdown automata from fuzzy state grammars and vice-versa. Furthermore, it has been proved that if fuzzy deep pushdown automaton M fd is constructed from fuzzy state grammar G fs then L  (M fd ) = L  (G …fs ). In other words, for any string α  ∈ Σ * , μ  (α  ; α  ∈ L  (G fs )) = μ  (α  ; α  ∈ L  (M fd )) where μ denotes the membership of a string. Show more

Keywords: Regulated grammars, regulated automata, fuzzy state grammars, fuzzy deep pushdown automata

DOI: 10.3233/IFS-162138

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 249-258, 2016

Authors: Jain, Amita | Pardasani, Kamal Raj

Article Type: Research Article

Abstract: The high-throughput technology has led to exponential growth of biological data and information in online databases. This huge data provides new opportunities and challenges for development and application of informatics approaches for extracting and processing new information and knowledge from these databases. One of the major challenges is the presence of inherent uncertainty in this molecular data. The uncertainty arises due to degree of relationship of amino acids present in the sequences with the various parameters like length range, species. The variation in the length of molecular sequences leads to uncertainty in length ranges. The existing algorithms for association rule …mining are not completely capable of dealing with this uncertainty. In this paper a fuzzy soft approach has been proposed for mining amino acid fuzzy associations in peptide sequences of Mycobacterium tuberculosis complex (MTBC). The soft sets are employed to model relationship of amino acids with parameters like length range and species etc. The fuzzy set approach is employed to deal with the uncertainty of length ranges. The appropriate membership function has been proposed to model the uncertainty of length ranges. The fuzzy soft associations of amino acid along with their support and confidence have been computed for peptide sequences of MTBC. The results have been compared with the fuzzy approach as well as soft set approach and it is observed that there is significant change in the results. The proposed approach is quite useful in addressing the issue of uncertainty in molecular sequences considered in this paper. The fuzzy soft approach provides visibility of dependence of various characteristics on type of species and length ranges of sequences. Also the amino acid associations information have been generated in the form of rules which can be useful in developing signature which will provide better insights of structure, functions and interactions etc. Show more

Keywords: Association rule, support, confidence, fuzzy set, soft set

DOI: 10.3233/IFS-162139

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 259-273, 2016

Authors: Jemaï, Kamel

Article Type: Research Article

Abstract: In this article, we have an interested implementing new intelligent strategies based on fuzzy controllers, for a better integration of renewable energy in the powerful electrical networks, commonly called super grids. A preliminary investigation has allowed us to learn more about the impact of this integration on algebraic variables of an electrical network on one hand and on the modes of operation of power plants on the other. Indeed, if necessary to ensure the strategic balance production and consumption, especially during peak hours, power operators shall ensure that the integration of one or more wind farms does not affect any …aspect of the quality Energy distributed to subscribers. Perfect stability of large power grids at times of integration of renewable energy sources is ensured through the use of new strategies constituting a potential support which acts to overcome the hazards may hinder the operation of the components basic of these grids. Show more

Keywords: Super grid, wind farm, thevenin equivalent generator, fuzzy logic, sensitivity

DOI: 10.3233/IFS-162140

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 275-290, 2016

Authors: Chen, Ke-Jia | Chen, Yang | Li, Yun | Han, Jingyu

Article Type: Research Article

Abstract: Link prediction is an important sub-task in link mining area. This paper discusses link prediction in dynamic networks and proposes a new link prediction method which can learn from the long-term graph evolution of networks. The method first represents the variation of the structural properties in a dynamic network. Then, a classifier is trained for each property. It finally conducts link prediction process using an ensemble result of all the classifiers. Experiments in three realistic collaboration networks show that the evolution information of the network is beneficial for the improvement of link prediction performance and different structural property has different …capability to describe dynamics of the network. Show more

Keywords: Dynamic network, link prediction, machine learning, social network analysis

DOI: 10.3233/IFS-162141

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 291-299, 2016

Authors: Rafiei, Mehdi | Niknam, Taher | Khooban, Mohammad Hassan

Article Type: Research Article

Abstract: To simplify decision making of market participants, a careful and reliable electricity market price forecasting method is indispensable. Nevertheless, due to the Instability in market clearing prices (MCPs), it is rather tough to forecast MCPs accurately. Using probabilistic forecasting is a new solution to overcome the low accuracy of forecast. Transformation from traditional point forecasts to probabilistic interval forecasts is too important to model the uncertainties of forecasts. Thus the decision making activities of market participants are supported against uncertainties and risks effectively. In this paper a hybrid approach to achieve prediction intervals (PIs) of MCPs is proposed that modified …dolphin echolocation optimization algorithm (MDEOA) is applied to estimate point forecasts, model uncertainties, and noise variance. This proposed electricity price probabilistic forecasting method is evaluated by a generalized and comprehensive framework. To test the proposed hybrid method, real price data from Ontario, New England, and, Australian electricity markets are used and effectiveness of the method is validated. Show more

Keywords: Probabilistic forecasting, wavelet neural network, modified dolphin echolocation optimization algorithm, wavelet preprocessing, prediction intervals

DOI: 10.3233/IFS-162142

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 301-312, 2016

Authors: Daraby, Bayaz | Solimani, Zahra | Rahimi, Asghar

Article Type: Research Article

Abstract: Recently, Hasankhani et al. proved that any Felbin-fuzzy inner product space can be imbedded in a complete Felbin-fuzzy inner product space or Felbin-fuzzy Hilbert space. In this paper, it is showed a general result that any classical Hilbert space is a Felbin-fuzzy Hilbert space, so it shows that all results in classical Hilbert spaces are immediate consequences of the corresponding results for Felbin-fuzzy Hilbert spaces. Moreover by an example, it is showed that the spectrum of the category of Felbin-fuzzy Hilbert spaces is broader than the category of classical Hilbert spaces. Finally the authors are able to state a transformation …theorem from an ascending family of crisp inner product into Felbin-fuzzy inner product that shows how to formulate the recent results. Show more

Keywords: Felbin norm, fuzzy norm, fuzzy inner product spaces, fuzzy Hilbert space

DOI: 10.3233/IFS-162143

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 313-319, 2016

Authors: Nayeripour, Majid | Mahboubi-Moghaddam, Esmaeil | Khooban, Mohammad Hassan

Article Type: Research Article

Abstract: Over the past few years, distribution system operators try their best in order to obtain the well-balanced distribution systems to reduce the power loss, decrease the operation cost and improve the reliability indices. This paper presents an efficient method to solve the multi-periods distribution feeder reconfiguration (DFR) with respect to the presence of Distributed Generators (DGs). Most studies so far have investigated reconfiguration problem as a single period problem considering a fixed level of load. However, in this study, time-varying characteristics of load profiles and line failure rates are considered. The proposed framework formulates and studies the direct and implied …costs of power supply, reliability, energy loss, and switching operations, simultaneously. By considering these conditions to the DFR problem, the number of decision variables is significantly increased and the problem becomes more complicated than before. To this end a new modified particle swarm optimization (PSO) algorithm, compatible with the multi-periods problems, is presented. In the proposed algorithm, the costs of individual periods and the total cost are considered simultaneously in order to update the particles. To evaluate the performance of the proposed method, the results are compared with the original one. A typical distribution test system is used to demonstrate the performance of the proposed approach. Show more

Keywords: Distribution feeder reconfiguration, distributed generation, reliability, particle swarm optimization algorithm

DOI: 10.3233/IFS-162144

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 321-331, 2016

Authors: Wu, Xiu-Yun | Bai, Shi-Zhong

Article Type: Research Article

Abstract: In this paper, decompositions of L -fuzzy natural numbers and cut sets of L -fuzzy sets on finite sets are presented. Then, based on some unified nature of L -fuzzy natural numbers, the notions of ℕ β L -nested mappings and ℕ α L -nested mappings are introduced and some representations of them are obtained. It is showed that if a ℕ β L -nested mapping (resp. ℕ α L -nested mapping) is generated by an L -fuzzy natural number, then its representation is …exactly equal to itself. As for applications, the addition and the exponentiation of two ℕ β L -nested mappings (resp. two ℕ α L -nested mappings) are introduced. It is also showed that, given two ℕ β L -nested mappings (resp. two ℕ α L -nested mappings), cut sets that correspond to the representations of their addition (or, their exponentiation) are equal to cut sets of the addition (or, the exponentiations) of the given mappings. Show more

Keywords: L-fuzzy natural number, cut set, ℕβL-nested mapping, ℕαL-nested mapping, addition, exponentiation

DOI: 10.3233/IFS-162146

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 333-344, 2016