Journal of Intelligent & Fuzzy Systems - Volume 37, issue 4

Authors: Saleem, Nasir | Khattak, Muhammad Irfan | Qazi, Abdul Baser

Article Type: Research Article

Abstract: In real-world situation, speech signals reaching our ears are usually degraded by the background noise. These distortions are detrimental to the speech quality and intelligibility and also cause a serious problem to many speech-related applications, such as automatic speech recognition and speaker identification. In order to deal with the background noise distortions, we propose a strategy to enhance the degraded speech in this paper, where speech enhancement is conducted using supervised deep neural network models. The models are trained to learn a mapping from the features of noisy speech to estimate the ideal-ratio mask (IRM). The estimated IRM is then …applied to the noisy speech in order to obtain an enhanced version of the degraded speech. The mean square error (MSE) is used as an objective cost function. Additionally, Global Variance Equalization is performed as a post-processing step to equalize variances of the features. Systematic evaluations and comparisons show that the proposed supervised method improves objective metrics of speech quality and intelligibility substantially and significantly outperforms the competing and baseline speech enhancement methods. Finally, the proposed method is examined in speaker identification task in noisy situations. The proposed method leads to the highest speaker identification rates when compare to the competing and baseline speech enhancement methods. Show more

Keywords: Speech enhancement, deep neural networks, supervised learning, global variance, quality, intelligibility

DOI: 10.3233/JIFS-190047

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5187-5201, 2019

Authors: Lee, Pin-Chan | Zhao, Yijing | Lo, Tzu-Ping | Long, Danbing

Article Type: Research Article

Abstract:  The construction industry has long been seen as a high-risk industry, and the risk evaluation method is the core of safety risk management. Complex construction environments can lead to risk evolution over time, leading to uncertainty in risk assessment. Therefore, it is necessary to establish a risk evaluation method for multi-period group decision, which can also deal with uncertain information reliably. This study defines the risk evaluation indicators for construction safety and adopts the cloud model to deal with the uncertain information of experts’ evaluations. A cloud-based aggregation algorithm is also employed for group decision. Then, a cloud-based Minkowski distance …function is proposed to enhance the ability of TOPSIS to deal with the uncertain information. Finally, an optimization algorithm is used to calculate the multi-period comprehensive evaluation value to define the risk priority. A real case is used for demonstration and the results show that the proposed method can effectively deal with the risk evaluation problem of multi-project, multi-period and group decision with uncertain information. Show more

Keywords: Construction safety risk, cloud model, TOPSIS, uncertain information

DOI: 10.3233/JIFS-190076

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5203-5215, 2019

Authors: Lin, Yidong | Li, Jinjin

Article Type: Research Article

Abstract: Granular reduction is an important issue for knowledge representation and data analysis in formal concept analysis. Granular structure of crisp-fuzzy concepts with application in granular reduction in formal fuzzy contexts is examined in this paper. However, computing a minimal granular reduct of a formal fuzzy context by Boolean reasoning is an NP-hard problem. Therefore, it is natural to investigate a heuristic approach to deal with this problem. A new method based on Boolean matrix is proposed to search the granular reduction. Granular matrix representations for extensions and intensions are firstly proposed. Then, we develop a similar degree between attribute subsets …to measure attribute significance. Subsequently, two heuristic algorithms for granular reduction in formal fuzzy contexts and formal fuzzy decision contexts are presented, respectively. We prove that the time complexities of the algorithms are polynomial. Finally, numerical experiments demonstrate the proposed algorithms are much more feasible and efficient. Our methods present a new framework for granular reduction in formal fuzzy contexts. Show more

Keywords: Boolean matrix, crisp-fuzzy concept, formal fuzzy context, granular reduction, Heuristic algorithm

DOI: 10.3233/JIFS-190161

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5217-5228, 2019

Authors: De, Avijit | Das, Sujit | Kar, Samarjit

Article Type: Research Article

Abstract: Interval-valued intuitionistic hesitant fuzzy set (IVIHFS) has a key role in multiple attribute decision making (MADM) problems due to its ability to represent the decision maker’s hesitant opinions using preferred and non-preferred intervals. In this paper, we develop an interactive decision-making approach to solve multi-attribute group decision making (MAGDM) problems with incomplete weight information using probabilistic interval-valued intuitionistic hesitant fuzzy set (P-IVIHFS), which is an extension of IVIHFS. The assessments provided by the decision makers for individual alternatives regarding different attributes are expressed using probabilistic interval-valued intuitionistic hesitant fuzzy elements (P-IVIHFEs). Linear programming (LP) is used to obtain the optimal …weights of attributes from the partially known weight information. Moreover, we extend the technique for order preference by similarity to ideal solution (TOPSIS) method in the framework of P-IVIHFS for the ranking purpose. Finally, we have solved a numerical example for the supplier selection problem using the proposed method to illustrate the applicability of the proposed approach. The comparative study demonstrates the suitability of the proposed approach over the existing methods. Show more

Keywords: Probabilistic interval-valued intuitionistic hesitant fuzzy set, multi-attribute group decision making, similarity measure, linear programming, TOPSIS

DOI: 10.3233/JIFS-190205

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5229-5248, 2019

Authors: Holdon, Liviu-Constantin

Article Type: Research Article

Abstract: In this article, we put forward the concepts of nodal and conodal ideals in a residuated lattice and study some properties. We state some examples and theorems. We investigate the inverse image of a nodal (conodal) ideal under a homomorphism. In addition, we pay attention to the relationships with the other types of ideals and special sets in varieties of residuated lattices. At the same time, we give a characterization of nodal ideals in terms of congruences and we show that if L is an MTL-algebra and I is a non-principal nodal ideal, then L /I is …a chain. We propose a characterization for Boolean residuated lattices (L is a Boolean residuated lattice if and only if L is an involution semi-G-agebra) and we discuss briefly the applications of our results in varieties of residuated lattices. Finally, we introduce the concept of a fuzzy (nodal) ideal of a residuated lattice, and give some related results. After that we define the concept of fuzzy ideal of a residuated lattice with respect to a t-conorm briefly, S-fuzzy ideals and we prove Representation Theorem in residuated lattices. Show more

Keywords: Residuated lattice, obstinate ideal, implicative ideal, nodal ideal, conodal ideal

DOI: 10.3233/JIFS-190297

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5249-5267, 2019

Authors: Sun, Feng | Qu, Xiao-bing | Zhu, Ling

Article Type: Research Article

Abstract: Uni-nullnorms generalize both uninorms and nullnorms. In this paper, we investigate the migrativity property for uni-nullnorms. We characterize uni-nullnorms that are α -migrative over a fixed uni-nullnorm, where the 2-neutral elements of uni-nullnorms can be the same or different. Specifically, the (α , V 1 )-migrativity of V when e  = e 1 , a  = a 1 , or e  ≠ e 1 , a  = a 1 or e  = e 1 , a  ≠ a 1 are characterized, where V and V 1 are uni-nullnorms with 2-neutral elements {e , 1} a and {e 1 , 1} a …1 , respectively. Show more

Keywords: Uninorms, nullnorms, 2-uninorms, uni-nullnorms, migrativity

DOI: 10.3233/JIFS-190377

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5269-5279, 2019

Authors: Abdi, M. | Allahviranloo, T.

Article Type: Research Article

Abstract: In this paper, first, the fuzzy Poisson’s equation and the fuzzy finite difference method are introduced. Then, the fuzzy Poisson’s equation is discretized by fuzzy finite difference method and it is solved as a linear system of equations. In addition, we discuss fuzzy Laplace equation as a special case of fuzzy Poisson’s equation. Finally, the convergence of method is taken into account and for more illustration a numerrical example is solved.

Keywords: Fuzzy number, fuzzy poisson’s equation, fuzzy finite difference method, convergence, fuzzy divergence theorem

DOI: 10.3233/JIFS-190408

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5281-5296, 2019

Authors: Jiang, Chunmao | Duan, Ying | Yao, Jun

Article Type: Research Article

Abstract: Task clustering is an effective approach of improving cloud computing resource utilization, which includes other benefits such as better QoS, load balance and low energy consumption. Different existing clustering methods have sharp boundaries, three-way clustering as an application of three-way decision, uses core region and fringe region to represent a cluster. In this paper, we propose a novel idea of clustering weight algorithm called TWCW algorithm(Three-way clustering weight) based on three-way decision to overcome the low utilization aiming at improving energy-efficient. The algorithm encompasses two steps, the identified tasks are assigned into the core region and the uncertain tasks are …assigned into the fringe region based on diversity of cloud tasks and the dynamic nature of resources using the three-way K-means clustering firstly. The cluster center of CS i , centroid i  = {mips , ram , bw } is obtained from the result of three-way clustering. In the second step is to score clusters and schedule tasks. We define a scoring matrix to record scores of the weight between clusters and the preference of attributes within clusters according to the cluster center, and then schedule tasks based on scoring matrix. We validate the high utilization of resources of the proposed algorithm by using simulation of CloudSim. The experiment shows the proposed algorithms significantly reduce energy consumption while significant improving response time of tasks comparing with K-means algorithm and FCM algorithm. Show more

Keywords: Cloud computing, three-way clustering, three-way decisions, task schedule, average response time, task sets

DOI: 10.3233/JIFS-190459

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5297-5305, 2019

Authors: Mao, Wenxin | Wang, Wenping | Sun, Huifang

Article Type: Research Article

Abstract: The increasingly complex decision environments determine the classical grey number is insufficient to tackle the asymmetrical grey information distribution in multi-attribute group decision making, and there usually exits causal interdependency between attributes, motivated by this a grey possibility based hybrid decision method is proposed in this paper. First, the possibility function is used to characterize the asymmetrical value distribution information of grey number. The novel measure functions including the ranking method, grey orthocenter distance and similarity degree of grey number are constructed. On this basis, the optimization model for aggregating group grey information is designed based on the two goals …which are the minimal distances and higher similarity between individual grey information. The grey possibility based hybrid decision method is established by integrating the decision making trial and evaluation laboratory and the interactive multi-attribute decision method (TODIM) with considering the bounded rationality behavior of decision maker under high-type grey decision environment, where the causal interdependencies between attributes are overcome. Finally, the proposed method is applied to a strategy selection problem of Chinese smart phone manufacturer, and the sensitivity and comparative analysis are carried out to verify its robustness and credibility. Show more

Keywords: Grey number, possibility function, multi-attribute decision making, TODIM, DEMATEL

DOI: 10.3233/JIFS-190463

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5307-5322, 2019

Authors: Xiao, Fuyuan | Zhang, Zili | Abawajy, Jemal

Article Type: Research Article

Abstract:  A well-managed time-constrained workflow scheduling is needed for improving system performance and end user satisfaction. Meanwhile, the intrinsic uncertainty in dynamic systems increases the difficulties of scheduling problem. Therefore, it is a great challenge to improve performance and optimize several objectives simultaneously. To address these issues, a novel workflow scheduling method for distributed systems based on TOPSIS method with fuzzy set is proposed in this paper. The new method can minimize the makespan of the workflow application under uncertain environment. Finally, a numerical example is provided to demonstrate the efficiency of the proposed method.

Keywords: Workflow scheduling, Triangular fuzzy numbers, TOPSIS, Distributed systems

DOI: 10.3233/JIFS-190483

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5323-5333, 2019