Journal of Intelligent & Fuzzy Systems - Volume 28, issue 5

Authors: Zhang, Xiaolu | Xu, Zeshui

Article Type: Research Article

Abstract: Distance and similarity measures are fundamentally important in a variety of scientific fields such as clustering analysis, pattern recognition and decision making, etc. In this paper, by analyzing the existing distance and similarity measures between hesitant fuzzy sets, we show that they are not reasonable in some situations. To this end, we propose a novel concept of hesitancy index of hesitant fuzzy set to measure the hesitancy degree among the possible values in each hesitant fuzzy element of the hesitant fuzzy set. By taking their hesitancy indices into account, new methods for measuring the distances between hesitant fuzzy sets are …proposed and their properties are discussed. According to the relationship between the distance measure and the similarity measure, two novel similarity measures for hesitant fuzzy sets are further developed. Afterwards, we propound a novel hesitant fuzzy clustering algorithm on the basis of the novel similarity measures for classifying objects with hesitant fuzzy sets. At length, a real-life example is given to illustrate the detailed implementation process of the proposed clustering approach, and a comparative study on the same example is conducted. Show more

Keywords: Hesitant fuzzy set, distance measure, similarity measure, hesitancy index, clustering analysis

DOI: 10.3233/IFS-141511

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2279-2296, 2015

Authors: Chen, Junfen | Liao, Iman Yi | Belaton, Bahari | Zaman, Munir

Article Type: Research Article

Abstract: Large point sets consists of unordered sets of usually 3D coordinates representing a surface (e.g., face) or a volume. With the advent of laser scanners the surface can be captured with high resolution generating a large amount of data. Processing this amount of data for point set registration efficiently, poses the type of challenges being addressed by the big data community. Coherent Point Drift (CPD) is a state-of-the-art point set registration method, that is able to handle large point cloud registration in O n time with the incorporation of the Fast Gauss Transform (FGT) and low-rank matrix approximation …(LRA). However, its registration accuracy degrades rapidly for large point sets. To overcome this, we present a strategy that divides a large point set into several smaller overlapping subsets. These subsets are then independently registered using CPD that are then merged for final registration. To improve registration accuracy, we also propose a method to tune the width parameter of the Gaussian kernel in CPD. The proposed method has been tested on four large datasets, including the USF 3D face dataset. The results show that the proposed method is able to register large datasets with greater speed and accuracy than the state-of-the-art CPD method. Show more

Keywords: Large point sets registration, division, Gaussian mixture models (GMMs), coherent point drift (CPD), Gaussian kernel

DOI: 10.3233/IFS-141513

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2297-2308, 2015

Authors: Zhang, Xiaohong

Article Type: Research Article

Abstract: The notions of fuzzy 1-type (2-type) positive implicative filter and fuzzy normal filter of pseudo-BCK algebras are introduced, some properties and equivalent conditions are given. By using the new notions, the characterizations of 1-type positive implicative pseudo-BCK algebra and 2-type positive implicative pseudo-BCK algebra (positive implicative BCK -algebra) are displayed. Moreover, some conclusions related with positive implicative filters in previous literature are revised. Finally, the concepts of fuzzy commutative filter and fuzzy implicative filter are proposed, and the relationships among fuzzy 1-type (2-type) positive implicative filters, fuzzy commutative filters and fuzzy implicative filters of pseudo-BCK algebras …are investigated. Show more

Keywords: Fuzzy logic, Pseudo-BCK algebra, Fuzzy 1-type positive implicative filter, Fuzzy normal filter, Fuzzy implicative filter

DOI: 10.3233/IFS-141514

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2309-2317, 2015

Authors: Ramadan, A.A. | Elkordy, E.H. | Kim, Yong Chan

Article Type: Research Article

Abstract: In this paper, we investigated the properties of two L -fuzzy interior operators and two L -fuzzy topologies induced by L -quasi-uniformity in complete residuated lattices. We study the relations among L -fuzzy quasi-uniformities, L -fuzzy interior operators and L -fuzzy topologies. We give their examples.

Keywords: Complete residuated lattice, L-fuzzy interior operators, L-fuzzy quasi-uniform space, L-fuzzy topologies

DOI: 10.3233/IFS-141515

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2319-2327, 2015

Authors: Wang, Xizhao

Article Type: Research Article

Abstract: Focusing on learning from big data with uncertainty, this special issue includes 5 papers; this editorial presents a background of the special issue and a brief introduction to the 5 papers.

Keywords: Big data, machine learning, uncertainty, 3V characteristics

DOI: 10.3233/IFS-141516

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2329-2330, 2015

Authors: Rosyida, Isnaini | Widodo, | Indrati, Ch. Rini | Sugeng, Kiki A.

Article Type: Research Article

Abstract: A fuzzy graph referred in this paper is a graph with crisp vertex set and fuzzy edge set. The most important issue in the coloring problem of fuzzy graph is to construct a method for finding the chromatic number of fuzzy graph. Most of the methods that many researchers had been done still result crisp chromatic number. In this paper, we propose a new approach to determine fuzzy chromatic set of fuzzy graph. In our proposed method, the fuzzy chromatic set of fuzzy graph is constructed through its δ -chromatic number. Further, we investigate some properties of the fuzzy chromatic …set of fuzzy graph. We show that fuzzy chromatic set of fuzzy graph is a discrete fuzzy number and then it is called by fuzzy chromatic number. To the best of our knowledge, no one has determined fuzzy chromatic number of fuzzy graph through its δ -chromatic number before now. Finally, a fuzzy chromatic algorithm based on the new approach is proposed. Show more

Keywords: Fuzzy graph coloring, δ-chromatic number, fuzzy chromatic set, discrete fuzzy number, fuzzy chromatic number

DOI: 10.3233/IFS-141521

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2331-2341, 2015

Authors: Jiang, Wen | Luo, Yu | Qin, Xi-Yun | Zhan, Jun

Article Type: Research Article

Abstract: Ranking fuzzy numbers is a very important issue in fuzzy sets theory and applications. The methods for ranking fuzzy numbers have been extensively researched and used to solve many problems. Recently, Chen et al. [11 ] proposed a fuzzy ranking method to calculate the areas on the negative side, the areas on the positive side and the centroid of the generalized fuzzy numbers to evaluate the ranking scores of generalized fuzzy numbers with different left heights and right heights. The method can provide us with a useful way for fuzzy risk analysis based on generalized fuzzy numbers with different left heights …and right heights. However, in several situations, the ranking results of Chen et al.’s method are unreasonable. In this paper, we propose an improved method, which considers the areas of the positive side, the areas of the negative side and the spreads of generalized fuzzy numbers as the ranking factors for ranking fuzzy numbers. The proposed method not only can rank generalized fuzzy numbers with different left heights and right heights, but also overcome the drawbacks of the existing fuzzy ranking methods. Show more

Keywords: Generalized fuzzy numbers, ranking fuzzy numbers, left heights, right heights, spreads

DOI: 10.3233/IFS-151639

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2343-2355, 2015

Authors: Fattahi, Mohammadreza | Latif, Alimohammad

Article Type: Research Article

Abstract: In this paper, selection of watermark strength in digital image using harmony search is presented. In image watermarking procedure, the image is divided into separate blocks and the watermark is embedded in the transform domain via the watermark strength and the inverse transform is carried out. Digital image watermarking has several requirements based on its applications. Transparency and robustness are two important requirements in many applications. These two requirements are in conflict and watermark strength controls them. Decreasing the watermark strength causes higher transparency and lower robustness and vice versa. Having these two features is not possible at the same …time, further more it would be time consuming to determine the proper watermark strength by error and trial and using the optimization algorithms is of great importance in this case. The experimental results show that the proposed algorithm selects the proper watermark strength to have suitable transparency and robustness at the same time. Show more

Keywords: Digital image watermarking, discrete cosine transform, harmony search algorithm, watermark strength

DOI: 10.3233/IFS-151585

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2357-2367, 2015

Authors: Ali, Hazrat | Ahmad, Nasir | Zhou, Xianwei

Article Type: Research Article

Abstract: Urdu is amongst the five largest languages of the world and possess a very important role as it shares its vocabulary with languages as Arabic, Persian, Hindi and several other languages of the Indo-Pak. The Automatic Speech Recognition task of Urdu has not been addressed significantly. This paper presents the statistical based classification technique to achieve the task of Automatic Speech Recognition of isolated words in Urdu. The proposed approach is based on calculation of 52 Mel Frequency Cepstral Coefficients for each isolated word. The classification has been achieved with Linear Discriminant Analysis. The successful or incorrect matches have been …presented in the Confusion Matrix. As a prototype, the framework has been trained with audio samples of seven speakers including male/female, native/non-native and speakers with different ages. The test set comprises of audio data of three speaker. For each isolated, percentage error has been calculated. It was found that majority of the words are recognized with percentage error less than 33% . Some words suffer 100% error and were referred to be the bad words. This work may provide a baseline for further research on Urdu Automatic Speech Recognition. Show more

Keywords: Urdu automatic speech recognition, mel frequency cepstral coefficients, linear discriminant analysis

DOI: 10.3233/IFS-151554

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2369-2375, 2015

Authors: Kazemi, Nima | Olugu, Ezutah Udoncy | Abdul-Rashid, Salwa Hanim | Ghazilla, Raja Ariffin Bin Raja

Article Type: Research Article

Abstract: This paper develops an inventory model for items with imperfect quality in a fuzzy environment by assuming that learning occurs in setting the fuzzy parameters. This implies that inventory planners collect information about the inventory system and build up knowledge from previous shipments, and thus learning process occurs in estimating the fuzzy parameters. So, it is hypothesized that the fuzziness associated with all fuzzy inventory parameters is reduced with the help of the knowledge acquired by the inventory planners. In doing so, the study developed a total profit function with fuzzy parameter, where triangular fuzzy number is used to quantify …the fuzziness of the parameters. Next, the learning curve is incorporated into the fuzzy model to account for the learning in fuzziness. Subsequently, the optimal policy, including the batch size and the total profit are derived using the classical approach. Finally, numerical examples and a comparison among the fuzzy learning, fuzzy and crisp cases are provided to highlight the importance of using learning in fuzzy model. Show more

Keywords: EOQ model, fuzzy set theory, imperfect quality, inventory control, learning

DOI: 10.3233/IFS-141519

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2377-2389, 2015

Authors: Li, Yingjie | Wang, Ran | Shiu, Simon C.K.

Article Type: Research Article

Abstract: Choosing representative samples and removing data redundancy are two key issues in large-scale data classification. This paper proposes a new model, named interval extreme learning machine (ELM), for big data classification with continuous-valued attributes. The interval ELM model is built up based on two techniques, i.e., discretization of conditional attributes and fuzzification of class labels. First, inspired by the traditional decision tree (DT) induction algorithm, each conditional attribute is discretized into a number of intervals based on uncertainty reduction scheme. Then, the center and range of each interval are calculated as the mean and standard deviation of the values in …it. Afterwards, the samples in the same intervals with regard to all the conditional attributes are merged as one record, and a fuzzification process is performed on the class labels. As a result, the original data set is transferred into a smaller one with fuzzy classes, and the interval ELM model is developed. Experimental comparisons demonstrate the feasibility and effectiveness of the proposed approach. Show more

Keywords: Extreme learning machine, interval, uncertainty reduction, big data

DOI: 10.3233/IFS-141520

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2391-2403, 2015

Authors: Fuentes-Fernández, Rubén | Balsa, João

Article Type: Research Article

Abstract: Ambient Intelligence (AmI) systems are collections of interconnected services that use heterogeneous devices to integrate smoothly in the everyday environment of their users. Engineering these systems is a challenging task, where designers need to deal with issues such as information management, users’ profiles and activities, privacy, distribution, or continuous availability. The application of the multi-agent paradigm to develop these systems has been one of the most active lines of research in the area. Its abstractions of intentional and social agents are useful to analyze AmI systems with an integrated view of people and the services working for them. Moreover, this …paradigm already offers solutions to deal with many of the key aspects of AmI. This special issue highlights some state-of-the-art works in this line. It presents contributions regarding agent-oriented architectures and development processes for AmI, as well as illustrative industrial systems built under this approach. Show more

Keywords: Ambient Intelligence, agent, multi-agent system, architecture, development process

DOI: 10.3233/IFS-151618

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 5, pp. 2405-2407, 2015