Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Fan, Jiashuang | Yu, Suihuai | Yu, Mingjiu | Chu, Jianjie | Tian, Baozhen | Li, Wenhua | Wang, Hui | Hu, Yukun | Chen, Chen

Article Type: Research Article

Abstract: In order to achieve optimal selection of design schemes in cloud environment, this paper proposed a novel hybrid Multi-Criteria Decision-Making (MCDM) model integrated Fuzzy Analytic Network Process (fuzzy-ANP) and Fuzzy Quality Function Development (fuzzy-QFD). There are three steps in the novel approach. In the first step, the evaluation target system of design scheme is identified considering four dimensions: economy, society, environment, and culture. The proper indicators are identified by the integration of multi-intelligent techniques. In the second step, decision-makers are asked to compare the decision indicators, and the weight for each indicator is determined using the intuitionistic fuzzy number and …fuzzy-ANP. In the third step, the decision-making system of design scheme is developed to compare and rank alternatives. The decision-makers are invited over to compare different options and rank them with the aid of fuzzy-QFD in the cloud environment. A case study is provided to validate the proposed approach. Twenty-five sensitivity analysis experiments are conducted to figure out the influence of evaluation indicators on decision making process. The novel approach makes use of the strength of fuzzy set theory in handing vagueness and uncertainty, the fuzzy-ANP in non-independent hierarchy evaluation on the indicator system, the advantage of fuzzy-QFD in multiple-objective decision analysis. Based on the comparative study and assessment, the results show that the proposed approach is more efficient and provided users with multidimensional evaluation. Show more

Keywords: Fuzzy analytic network process, fuzzy quality function development, multi-criteria decision-making, optimal selection, cloud environment

DOI: 10.3233/JIFS-190630

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2019

Authors: Yıldız, Nurdan | Kahraman, Cengiz

Article Type: Research Article

Abstract:  CODAS is a new multicriteria decision making method based on the maximum distances to negative ideal solutions, which are obtained from Euclidean and Taxicab distances. This paper develops a Z-fuzzy CODAS method based on restriction and reliability functions under uncertainty. We obtain the criteria weights from the Z-fuzzy pairwise comparison matrix. An illustrative application to supplier selection problem is also given. A comparative analysis is presented with ordinary fuzzy simple additive weighting (SAW) method.

Keywords: CODAS, Z-fuzzy, restriction function, reliability, pairwise comparison, supplier selection, SAW

DOI: 10.3233/JIFS-182733

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Jamil, M. | Rahman, K. | Abdullah, S. | Khan, M.Y.

Article Type: Research Article

Abstract: For the multi-attribute group decision-making problems where attribute values are the interval-valued intuitionistic fuzzy numbers, the group decision-making method based on induced generalized Einstein geometric aggregation operators is developed. Firstly, induced generalized interval-valued intuitionistic fuzzy Einstein ordered weighted geometric (I-GIVIFEOWG) aggregation operator and induced generalized interval-valued intuitionistic fuzzy Einstein hybrid weighted geometric (I-GIVIFEHWG) aggregation operator, were proposed. Some general properties such as, idempotency, commutativity, monotonicity and boundedness, were discussed and some special cases were analyzed. Furthermore, the method for multi-attribute group decision-making problems was developed, and the operational processes were illustrated in detail. The main advantage of using the proposed …methods and operators is that these operators and methods give a more complete view of the problem to the decision makers. The proposed methods provide more general, more accurate and precise results. Therefore these methods play a vital role in real world problems. Finally the proposed operators have been applied to decision making problems to show the validity, practicality and effectiveness of the new approach. Show more

Keywords: Group decision-making, I-GIVIFEOWG aggregation operator, I-GIVIFEHG aggregation operator, some einstein operations

DOI: 10.3233/JIFS-182955

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2019

Authors: Ali, Asif | Rashid, Tabasam

Article Type: Research Article

Abstract:  Best-worst method (BWM) extended to uncertain situations, generalized interval-valued trapezoidal fuzzy best-worst method (GITrFBWM) is proposed by using generalized interval-valued trapezoidal fuzzy multiplicative preference relation for multiple criteria group decision-making problems. The reference comparison of the best criterion and the worst criterion are described by the linguistic terms, which are expressed in generalized interval-valued trapezoidal fuzzy numbers, of the decision-makers. Weights of criteria are calculated by using graded mean integration representation method. Using the concept of BWM, nonlinearly constrained optimization problems are formed to obtain generalized interval-valued trapezoidal fuzzy weights of different criteria and alternatives. To check the reliability of …the GITrFBWM, consistency ratio is proposed. The advantage and suitability of the proposed GITrFBWM are determined by three case studies. The results indicate that the GITrFBWM, due to higher comparison consistency as compared to BWM and fuzzy-best worst method, obtain plausible preference ranking for alternatives. Show more

Keywords: Generalized interval-valued trapezoidal fuzzy best worst method, Generalized interval-valued trapezoidal fuzzy numbers, Generalized interval-valued trapezoidal fuzzy reference comparison, Consistency ratio, Multiple criteria decision-making

DOI: 10.3233/JIFS-182932

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Cheng, Yangwei | Li, Gongfa | Li, Jiahan | Sun, Ying | Jiang, Guozhang | Zeng, Fei | Zhao, Haoyi | Chen, Disi

Article Type: Research Article

Abstract: Based on HSV gamut space, a visualization system of muscle activity is proposed to study the mapping relationship between hand motion and active areas of upper arm muscle. There is a significant threshold change in the starting and ending points of the active segment in the original EMG signal, and the part that exceeds the threshold TH is the active segment date. Set the window width K and fixed increment Kt of time window to remove redundant data. The sEMG intensity information of each sampling electrode is obtained by calculating MAV in each window, and the simulation experiment is conducted …in HSV gamut space. Through the human-computer interaction experiment of the visual system, it is proved that this system can visually display the relationship between different channels in the spatial domain, thus intuitively identify the activity intensity of different muscles in hand motion. Show more

Keywords: Visualization system, hand motion, upper arm muscle, active areas, sEMG

DOI: 10.3233/JIFS-179549

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Shao, Songtao | Zhang, Xiaohong

Article Type: Research Article

Abstract:  The probabilistic neutrosophic hesitant fuzzy numbers are considered to be effective tools for dealing with such decision problems when both subjective and objective uncertainties exist simultaneously. However, the existing methods for dealing with real-life decision-making in the context is based on the assumption that the relationships between all criteria are independent and irrelevant. It is worth noting that this assumption is not sufficient. In fact, there may be interrelationships between attributes. In order to consider the correlation between factors from a more global perspective, the generalized Shapley probabilistic neutrosophic hesitant fuzzy Choquet averaging (GS-PNHFCA) operator and the generalized Shapley probabilistic …hesitant fuzzy Choquet geometric (GS-PNHFCG) operator are investigated. Next, in order to find the optimal weight vector about DMs and criteria, a model is constructed by the maximizing score deviation (MSD) method. In addition, based on the integrated operators and built models, an algorithm for solving the MCGDM problem of PNHFN is designed. The effectiveness and practicability of the algorithm is proved by comparison with existingresults. Show more

Keywords: Probabilistic neutrosophic hesitant fuzzy set, multi-criteria group decision-making (MCGDM), Choquet integral, shapley function, aggregation operator

DOI: 10.3233/JIFS-190493

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Khater, Mostafa M.A. | Attia, Raghda A.M. | Abdel-Aty, Abdel-Haleem | Abdel-Khalek, Sayed | Al-Hadeethi, Yas | Lu, Dianchen

Article Type: Research Article

Abstract:  This research paper studies the computational and numerical solutions of the transmission of nerve impulses of a nervous system (the neuron) by applying the modified Khater (mK) method and B-spline scheme to the FitzHugh-Nagumo (FN) equation where it is usually used as a model of the transmission of nerve impulses. This study focuses on finding the different types of soliton wave solutions, studying the stability property of them, and then use them to obtain the numerical solutions of the model. The obtained solutions are compared with each other to show the absolute value of error between them that will explain …the accuracy of both types of solutions. Moreover, in the text of more explanation of the physical properties of the suggested model, some sketches are plotted. Also, the performance of both techniques is investigated to show its ability for applying to other nonlinear evolutions equation. Show more

Keywords: The fitzhugh-nagumo (FN) equation, the modified khater (mK) method, B-spline scheme, stability property, computational and numerical solutions

DOI: 10.3233/JIFS-179547

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Mabrok, Mohamed A. | Mohamed, Hassan K. | Abdel-Aty, Abdel-Haleem | Alzahrani, Ahmed S.

Article Type: Research Article

Abstract:  Understanding the collaboration between physical systems and human is an essential task in man-machine systems. This area of research has been significantly explored in the recent years with the focus on the machine side. Much less attention has been directed to the other side in the man-machine systems, which is the human. The aim of this review is to discuses the major directions and challenges in man-machine systems from control theory perspective with a focus on human modeling and human attributes in the man-machine system. Four directions has been identified; these are: 1) Understanding the attributes and the limitation of …the human operator; 2) Categorizing the human-in-the-loop applications and derive generic bounders for each category; 3) Building a realistic application-based model for the human behavior; and 4) Integrating the human models into a formal control synthesis methodology. We surveyed the contribution in each of the four challenges and pointed out the limitation in the proposed ideas. Particular attention is given to the model identification of the human behavior. Show more

Keywords: Human-in-the-loop, human behavior, cyber-physical systems

DOI: 10.3233/JIFS-179548

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Almarashi, Abdullah M. | Algarni, Ali | Abd-Elmougod, G.A.

Article Type: Research Article

Abstract:  Time to failure in the lifetime experiments, common that units or individuals are failure with more than one caused of failure defined by competing risks problem. In this paper, we consider the problem of competing risks model when the failure time of units or individuals have Nadarajaha and Haghighi lifetime distribution [1 ] based on type-II censoring schemes. The point and interval estimates of model parameters are discussed with maximum likelihood and Bayes methods. In Bayesian approach, the MCMC method is employed. The theoretical results are discussed through real life data analysis and simulation study. Finally, we discussed the numerical …results in some brief comments. Show more

Keywords: Nadarajaha and Haghighi distribution, competing risks model, MCMC, classical and bayesian estimation

DOI: 10.3233/JIFS-179546

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Thivagar, M. Lellis | Abdullah Hamad, Abdulsattar

Article Type: Research Article

Abstract: In the present paper, a new proposed theoretical hyper-complex chaotic system is proposed, which is an extension for the complex Lü models. In the proposed model, the variables, x, and y are assumed to be functions for one real and three complex parameters, while, the z variable is assumed in terms of only real variable only. After long mathematical manipulations, a systems of nine equations are obtained which represents the hyper-complex chaotic system. The dynamics of the obtained system were analyzed theoretically herein, where symmetry, anti-symmetry, Invariance, and dissipation of the system are theoretically analyzed from mathematical point of view. …The paper will followed by a generalized paper for the same proposed model to check its applicability on the secure communication systems. Show more

Keywords: Lü models, dynamic analysis, chaotic systems, symmetry, anti-symmetry, invariance and dissipation

DOI: 10.3233/JIFS-179545

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2019