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

Authors: Wu, Jian-Zhang | Beliakov, Gleb

Article Type: Research Article

Abstract: The main aim of this paper is to evoke more attentions on the dual concepts of k -maxitive capacity and k -maxitive aggregation, called k -minitive capacity and k -minitive aggregation by convention. We point out that possibility and necessity capacities, and k -tolerant and k -intolerant capacities are special cases of k -maxitive and k -minitive capacities. We also discuss some properties of k -minitive aggregation dual to those of the k -maxitive aggregation functions. For the purport of advocating the application of k -minitive and k -maxitive capacities, we finally present the mixed integer programming based identification method …and illustrate its steps and results through an example. Show more

Keywords: Fuzzy measure, k-minitive, k-maxitive, Capacity identification, Aggregation function

DOI: 10.3233/JIFS-190008

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

Authors: Ma, Jinshan

Article Type: Research Article

Abstract: A novel Gini-Simpson (G-S) index based generalised grey target decision method for mixed attributes is put forward. The proposed method improves the G-S index and adopts it as the mixed attribute-based target centre distance from the viewpoint of measuring the difference of alternative index and target centre index. The core of this algorithm is to obtain the ratio of each alternative index to the target centre index. And the ratio is regarded as the pseudo probability, as makes a bridge between the alternative index and the target centre index. This method first transforms all indices into binary connection numbers and …divides them into the deterministic terms and uncertain terms to constitute the two-tuple (determinacy, uncertainty) numbers. Then the target centre indices of two-tuple (determinacy, uncertainty) number are determined. Following this, the ratios of deterministic terms and uncertain terms of alternative indices to those of the target centre indices are calculated. Finally, the comprehensive weighted Gini-Simpson indices (CWGSIs) of all alternatives are obtained for decision-making with which the smaller value being the better. A case study illustrates the proposed approach. Show more

Keywords: Gini-Simpson index, generalised grey target decision method, mixed attributes, binary connection number

DOI: 10.3233/JIFS-182821

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

Authors: Baghbani, R. | Jamasb, S. | Khodabakhshi, MB.

Article Type: Research Article

Abstract:  A method for image edge detection is proposed, which employs interval-valued fuzzy (IVF) sets such that each pixel has an interval membership constructed from its original and neighboring intensities. This method relies on triangular norms and co-norms to develop operators generating lower (LIB) and upper (UIB) interval bounds, which are employed in a novel membership function. This membership function is then applied to the image represented as fuzzy singletons to generate an image containing the edges associated with the original image. The proposed method is applied to medical images for edge detection and the results are compared with those obtained …based on application of other fuzzy methods as well as a classical method for implementation of edge detectors. The quantitative comparison of the edge binary images determined by each method is performed by employing a metric based on the Hausdorf distance as well as a metric based on the local refinement error known as global consistency error (GCE). The proposed method consistently produced lower values of Baddeley’s Delta metric as well as lower values of GCE. The proposed method was also characterized by values of Pratt’s figure of merit closer to unity as compared with the other methods. Furthermore, the proposed method outperforms a number of commonly employed edge detectors in terms of the processing time required for edge detection. Show more

Keywords: Fuzzy edge, fuzzy relation (FR), interval-valued fuzzy relation (IVFR), membership function

DOI: 10.3233/JIFS-182576

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

Authors: Waris, Mohammad Maqbool | Sanin, Cesar | Szczerbicki, Edward

Article Type: Research Article

Abstract: This paper presents the idea of implementing the virtual Community of Practice for Product Innovation processes towards the establishment of intelligent enterprise. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Engineering plays an important role in manufacturing industries facing global competition. One of the most promising areas where Knowledge Management is studied and applied is product innovation. This paper explains the efficient and systematic methodology for Knowledge Management through Community of Practice for product innovation. Manufacturing industries can connect with similar industries at global level, …sharing and using technical and experiential knowledge in decision making thus converting them into intelligent enterprises. Show more

Keywords: Smart Innovation Engineering, product innovation, set of experience, community of practice, industry 4.0.

DOI: 10.3233/JIFS-179329

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Nguyen, Ngoc Thanh | Szczerbicki, Edward | Trawiński, Bogdan | Du Nguyen, Van

Article Type: Research Article

Abstract: In recent years, advances in information technologies have also facilitated the use of distributed knowledge from different autonomous sources for finding solutions to some common problems in the real world. This approach can be considered as an efficient approach to tap into collective intelligence, which is often considered as the intelligence emerging from the collaboration and competition of many individuals in a group. This paper aims to present the application of collective intelligence in information systems briefly. Apart from these, we also introduce papers in this issue.

Keywords: Collective intelligence, intelligent systems, collective knowledge

DOI: 10.3233/JIFS-179324

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-3, 2019

Authors: Zanni-Merk, Cecilia | Szczerbicki, Edward

Article Type: Research Article

Abstract: This article presents a survey on the use of KREM, a generic knowledge-based framework for building collective intelligence through experience. After a discussion on the disadvantages of the traditional architecture used to deploy intelligent systems, the KREM architecture (Knowledge, Rules, Experience, Meta-Knowledge) is presented. The novelty of the proposal comes from the inclusion of the capitalisation of experience and the use of meta-knowledge in the traditional architecture previously discussed. KREM improves the efficiency of traditional intelligent systems by allowing incomplete expert knowledge models to be used, gradually completing them, learning with experience. In addition, the use of meta-knowledge can guide …their execution more effectively. This framework has been successfully used in various projects in different application areas, which are presented and discussed. Show more

Keywords: Knowledge technologies, ontologies, reasoning, experience, meta-knowledge

DOI: 10.3233/JIFS-179327

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Shafiq, Syed Imran | Szczerbicki, Edward | Sanin, Cesar

Article Type: Research Article

Abstract: Modeling an effective mechanism for design and control strategies for the implementation of a flexible manufacturing system (FMS) has been a challenge. Consequently, to overcome this issue various techniques have applied in the past but most of these models are effective only for some specific situation or an element of FMS. In this study, the knowledge representation technique of Decisional DNA (DDNA) is applied to FMS to develop a generic model to achieve effective scheduling and manufacturing flexibility. Decisional DNA based Virtual Engineering Objects (VEO) are used as communicating media between machines, equipment and works pieces. The concept of Virtual …Engineering Process (VEP) is applied for modeling routing flexibility. VEOs combined with VEPs form FMS-DDNA model, which facilitates in enhancing the performance of FMS, by inducing intelligence based on its own previous experience thus making it practical and smart. Show more

Keywords: Set of experience knowledge structure (SOEKS), Decisional DNA, Virtual engineering object (VEO), Virtual engineering process (VEP).

DOI: 10.3233/JIFS-179328

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Hoang, Dinh Tuyen | Nguyen, Ngoc Thanh | Hwang, Dosam

Article Type: Research Article

Abstract: Question-and-answering (Q&A) sites are information systems that allow users to ask and answer questions. Users can learn by frequently discussing, answering questions, or exchanging opinions with other experts using Q&A systems. In addition, they can arrange the existing top answers using a number of upvotes and downvotes from experts and crowd wisdom. The number of knowledge-sharing sites has increased significantly in recent years. However, some Q&A sites began to shrink (Yahoo Answers) or were shut down (Google Answers). The main reason is low-quality answers because they do not connect visitors and experts with the right questions. In addition, a question …may contain several subtopics with which the expert is unfamiliar. The recommendation of a list of experts closest to the question will lead to a long-tail problem. In this paper, we propose an expert group recommendation method for Q&A systems by taking into consideration users’ behaviors and diversity criteria in the group. Users’ behavior is analyzed to determine a group of experts or non-experts on specific topics. Diversity is an important factor in promoting the sustained comprehensible growth of Q&A sites and avoid following the crowd. Experiments on a Quora dataset show that our method achieves better results in terms of accuracy in comparison with other methods. Show more

Keywords: Expert group, group recommendation, diversity criteria, user behaviors

DOI: 10.3233/JIFS-179325

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Sarwar Sindhu, M. | Rashid, Tabasam | Khan, M.

Article Type: Research Article

Abstract: Hesitant fuzzy sets (HFSs) play a dominant role in the decision making process. Different tools are developed to attract the decision makers (DMs) in making the effective decision, the hesitant fuzzy preference relation (HFPR) is one of the important implementation of them. Preference of an alternative over another alternative is a useful way to express the opinion of decision maker. In this paper, a hesitant fuzzy ranking (HFR) technique is established, constructed the hesitant fuzzy ranking from the HFPR in the group decision making situations. Secondly, a correlation between the alternatives is developed by using Spearman ranked correlation coefficient formula, …which helps the DMs to identify the better alternative. The novelty of the proposed strategy is that it evades the need to compute the cooperative preference relations and approvals are generated for the individuals in their original domains. Show more

Keywords: Hesitant fuzzy sets, Fuzzy preference relations, Hesitant fuzzy preference relation, Fuzzy rankings, Group decision making

DOI: 10.3233/JIFS-182780

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

Authors: Yang, Yongwei | Zhu, Kuanyun

Article Type: Research Article

Abstract: The concept of pseudo MV-valuations is proposed in the paper, and some related characterizations of pseudo MV-valuations are investigated. The relationships between the pseudo MV-valuations of homomorphic and isomorphic MV-algebras and the relationships between their kernels are presented. We investigate several properties of pseudo MV-metrics induced by pseudo MV-valuations, and obtain that the product of two pseudo MV-metric spaces is a pseudo MV-metric space. Based on the introduced notion of pseudo continuous functions, we get that if a pseudo MV-valuation is contractive, then the binary operations on MV-algebras are pseudo continuous functions. Finally, we construct a congruence relation by using …a pseudo MV-valuation, and study some properties of pseudo MV-valuations on quotient MV-algebras. Show more

Keywords: MV-algebra, pseudo MV-valuation, pseudo MV-metric space, pseudo continuous function

DOI: 10.3233/JIFS-182844

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