Journal of Intelligent & Fuzzy Systems - Volume 35, issue 3

Authors: Liang, Yajun | Xiao, Mingqing | Tang, Xilang | Ge, Yawei | Wang, Xiaofei

Article Type: Research Article

Abstract: In this paper, a novel method for optimal solution in long-run is proposed to solve the test sequencing problem under unreliable tests that exist widely in real applications. The fault diagnosis process is presented and reformulated as a typical Markov Decision Process model, with the uncertainty of the tests is descripted by false alarm and detection probabilities which are to be the transition probabilities of the model. Moreover, the repeated test is adopted to improve the reliability of fault diagnosis. The cost and information gain are both considered in test chosen to achieve fast diagnosis with minimum cost. An application …on the launcher device of a missile is studied in detail, as well as the comparisons in diagnostic performance among the proposed solution and the ones of traditional methods. Both the simulation and results illustrate the validity and feasibility of the proposed method. Show more

Keywords: Optimal test sequencing, unreliable tests, Markov Decision Process, repeated test

DOI: 10.3233/JIFS-18169

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3605-3613, 2018

Authors: Feylizadeh, Mohammad Reza | Mahmoudi, Amin | Bagherpour, Morteza | Li, Deng-Feng

Article Type: Research Article

Abstract: Project managers normally investigate how to reduce the total completion time of projects undertaken subject to the pre-determined objectives. The purpose of this paper is compression of total projects’ duration subject to influencing factors such as cost, time, quality and risk. In the present study, by considering factors affecting project success such as cost, time, quality and risk, project crashing and fast tracking are both employed then a fuzzy multi-objective non-linear model is proposed. Each project is associated with uncertainty and the lack of consideration of these uncertainties might lead to project failure. In addition, a fuzzy approach has been …employed for incorporating the uncertainties associated with activities. In the proposed model, crashing and fast tracking of projects were considered simultaneously for the first time. According to a real case study considered in this paper, after using the proposed model, the cost of compression is also reduced. In addition, we determined which activities have to be crashed or fast tracked in order to attain the objective. The proposed methodology can be practically applied through mega projects such as construction and “Engineering, Procurement, and Construction” (EPC) projects where the deadline closes to being achieved. As another contribution, a unique feature of the proposed model is its capability for taking both crashing and fast-tracking simultaneously into consideration. Show more

Keywords: Fuzzy multi-objective model, project crashing, fast tracking, time, cost

DOI: 10.3233/JIFS-18171

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3615-3631, 2018

Authors: Sharma, Rupam Kumar | Kalita, Hemanta Kr | Issac, Biju

Article Type: Research Article

Abstract: Machine learning is successful in many applications including securing a network from unseen attack. The application of learning algorithm for detecting anomaly in a Network has been fundamental since few years. With increasing use of machine learning techniques it has become important to study to what extent it is good to be dependent on them. Altogether a different discipline called ‘Adversarial Learning’ have come up as a separate dimension of study. The work in this paper is to test the robustness of online machine learning based IDS to carefully crafted packets by attacker called poison packets. The objective is to …observe how a remote attacker can deviate the normal behavior of machine learning based classifier in the IDS by injecting the network with carefully crafted packets externally, that may seem normal by the classification algorithm and the instance made part of its future training set. This behavior eventually can lead to a poison learning by the classification algorithm in the long run, resulting in misclassification of true attack instances. This work explores one such approach with SOM and SVM as the online learning based classification algorithms. Show more

Keywords: Adversarial learning, machine learning, poison learning, intrusion detection system, artificial intelligence, NSL -KDD dataset, SVM, support vectors

DOI: 10.3233/JIFS-18202

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3635-3651, 2018

Authors: Ye, Yin-Fang | Li, Deng-Feng

Article Type: Research Article

Abstract: The aim of this paper is to extend the concept of the solidarity value to interval-valued (IV) cooperative games and develop a fast and simplified method for computing the IV solidarity values for a special class of IV cooperative games under some weaker conditions. In the method, we find a size (or coalition) monotonicity-like condition so that we can compute the IV solidarity values of a special class of IV cooperative games via determining their lower and upper bounds by utilizing the lower and upper bounds of the IV coalitions’ values, respectively. In addition, some important and useful properties of …IV solidarity values are discussed and the feasibility and applicability of the method proposed in this paper are verified with numerical examples as well as comparison analysis with existing methods is conducted. Show more

Keywords: Cooperative game, interval-valued cooperative game, solidarity value, interval, uncertainty

DOI: 10.3233/JIFS-18217

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3653-3660, 2018

Authors: Peng, Juan-juan | Wang, Jian-qiang | Hu, Jun-hua | Tian, Chao

Article Type: Research Article

Abstract: Single-valued neutrosophic hesitant fuzzy sets (SVNHFSs) have recently become a subject of great interest for researchers, and have been applied widely to multi-criteria decision-making (MCDM) problems. In this paper, the single-valued neutrosophic hesitant fuzzy geometric weighted Choquet integral Heronian mean operator, which is based on the Heronian mean and Choquet integral, is proposed, and some special cases and the corresponding properties of the operator are discussed. Moreover, based on the proposed operator, an MCDM approach for handling single-valued neutrosophic hesitant fuzzy information where the weights are unknown is investigated. Furthermore, an illustrative example to demonstrate the applicability of the proposed …decision-making approach is provided, together with a sensitivity analysis and comparison analysis, which proves that its results are feasible and credible. Show more

Keywords: Multi-criteria decision-making, single-valued neutrosophic hesitant fuzzy sets, Choquet integral, Heronian mean

DOI: 10.3233/JIFS-18249

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3661-3674, 2018

Authors: Li, Jing | Zhang, Yulin

Article Type: Research Article

Abstract: Aggregating individual interval multiplicative comparison matrices (IMCMs) and then ranking all the alternatives are very important in group decision making. However, the traditional methods may make the final result become overall average and does not always satisfy the Pareto optimal axiom. What’s more, the ranking of the alternatives may rely on parameter or the possibility degree. In order to make the aggregated interval multiplicative comparison matrix (IMCM) and the ranking more reliable, this paper develops a novel method to aggregate interval multiplicative comparison matrices (IMCMs) and then applies logarithmic least squares method (LLSM) to rank alternatives. Firstly, DMs’ interval multiplicative …comparison matrices (IMCMs) are converted into two-dimensional coordinates. Next, the minimum Euclidean distance model is constructed and plant growth simulation algorithm (PGSA) is applied to find the aggregated points. Then the logarithmic least squares method (LLSM) is employed to derive the weight vectors and the ranking of alternatives can be obtained. Finally, numerical examples are provided to show the advantage and efficiency of the proposed method. Show more

Keywords: Group decision making, interval multiplicative comparison matrices, the minimum Euclidean distance model, plant growth simulation algorithm

DOI: 10.3233/JIFS-18455

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3675-3684, 2018

Authors: Cao, Ming | Fang, Weiguo

Article Type: Research Article

Abstract: Weapon target allocation (WTA) is a classic NP-complete problem in the field of military operations research. In this paper, we addressed the multi-constraint WTA problems in multilayer defense scenario. To solve large-scale WTA problems effectively, a distributed MAX-MIN Ant System (MMAS) algorithm based on distributed computing framework Spark was developed and improved. An experiment environment comprising virtual machines was built for implementing the distributed MMAS. First, a small-scale WTA example, whose theoretical optimal solution can be obtained by existing optimization software, was taken as a benchmark problem to assess the performance of distributed MMAS. The result shows that it can …find high-quality and robust approximate solutions. Then a large-scale WTA problem was constructed and used to further evaluate the performance of distributed MMAS in the experiment environment. The result shows that the distributed MMAS can also achieve high-quality approximate solutions with high robustness and computational efficiency even for large scale WTA problems. Our study demonstrates it is a promising approach for solving large-scale iteration-dependent optimization problems like WTA by means of incorporating heuristic optimization algorithms such as Ant Colony Optimization into distributed computing framework. Show more

Keywords: Weapon target allocation (WTA), distributed computing, Spark, heuristic algorithm, MAX-MIN ant system (MMAS).

DOI: 10.3233/JIFS-18482

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3685-3696, 2018

Authors: Cui, Xiaoxu | Xia, Meimei

Article Type: Research Article

Abstract: Strategic manipulation or non-cooperative behavior means decision makers will make dishonest decisions or change their opinions for their own benefits. It can be applied to multiple attribute decision making (MADM) problems and help decision makers to manipulate the weights of attributes to obtain their desired rankings. Sometimes, interactions between attributes of alternatives may affect the decision results, and only parts of weights of attributes can be manipulated in the actual situation. In this paper, we apply Choquet integral into MADM to deal with the interactions between attributes. Models are firstly established to estimate the ranking ranges of alternatives by considering …the interactions between attributes, and can obtain more wider ranking ranges than the exiting methods. Models are further established to manipulate the attribute weights with interactions wholly or partially to obtain decision makers’ desired rankings. The proposed method is an extension of the existing ones and can reduce to the existing ones when the interactions between attributes are not considered. In the end, the proposed method is applied to estimate the ranking ranges of universities and help them choose attribute weights strategically according to their desired rankings. A numerical simulation is also given to demonstrate the proposed method has higher possibility to manipulate the attribute weights to obtain the desired rankings. Show more

Keywords: Strategic manipulation, multiple attribute decision making, Chouqet integral, group decision, ranking

DOI: 10.3233/JIFS-18483

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3697-3708, 2018

Authors: Yu, Xiao Ye | Xin, Xiao Long | Wang, Jun Tao

Article Type: Research Article

Abstract: In this paper, we introduce the notion of fuzzy filters on equality algebras and study a fuzzy filter generated by a fuzzy set. We also solve the open problem which was presented by Kadji, Lele and Tonga in [Soft Computing, 21 (2017) 1913-1922]. In addition, we denote the set of all cosets of a fuzzy filter f by E /f , and prove that the structure (E /f , ∧ , ∼ , f 1 ) is an equality algebra, and is isomorphic to the (E /f f (1) , ∧ , ∼ , f f (1) ), where f f (1)  = {x … ∈ E |f  (x ) = f  (1)}. At the meantime, we define fuzzy congruences on equality algebras and show that there is one-to-one correspondence between fuzzy filters and fuzzy congruences. Finally, we investigate some topological properties of uniform topology induced by the special family of extreme fuzzy filters. Show more

Keywords: equality algebra, fuzzy filter, fuzzy congruence, uniform topology

DOI: 10.3233/JIFS-18509

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3709-3719, 2018

Authors: Ren, Wenjuan | Yang, Zhanpeng | Sun, Xian | Qi, Min

Article Type: Research Article

Abstract: In this paper, we introduce a fuzzy Mellin transform method for solving Hermite fuzzy differential equations. The fuzzy Mellin transform reduce the problem of solving a Hermite fuzzy differential equation to a problem of solving a difference equation, whose inverse transform gives the solution of the fuzzy differential equation at hands. Under some conditions, we also give some Hyers-Ulam stability result of Hermite fuzzy differential equations.

Keywords: Mellin transform method, Hermite fuzzy differential equation, H-difference

DOI: 10.3233/JIFS-18523

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 3, pp. 3721-3731, 2018