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

Authors: Du, W.S.

Article Type: Research Article

Abstract: Dombi operations which include the Dombi product and Dombi sum are special cases of t -norms and t -conorms besides the algebraic operations. Recently, operations and aggregation operators for q -rung orthopair fuzzy values (q -ROFVs) based on Dombi operations were proposed. In this paper, we further discuss some additional issues relating to Dombi operations and Dombi aggregation operators of q -ROFVs. First, we give a reasonable explanation for the definition of the Dombi scalar multiplication and Dombi exponentiation which are constructed respectively by the Dombi sum and Dombi product over q -ROFVs, and then investigate the fundamental properties of …these operations. Subsequently, the shift-invariance and homogeneity properties of the q -rung orthopair fuzzy Dombi weighted averaging/geometric operators are analyzed. And the boundedness of aforementioned aggregation operators are precisely characterized with respect to the parameter in Dombi operations. Finally, a method for multiattribute decision making is proposed by utilizing the developed operators under the q -rung orthopair fuzzy environment and an example of the selection of investment companies is given to illustrate the detailed decision making process. Show more

Keywords: aggregation operator, Dombi operation, multiattribute decision making, q-rung orthopair fuzzy value

DOI: 10.3233/JIFS-192052

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-20, 2020

Authors: Alcalde, Cristina | Burusco, Ana

Article Type: Research Article

Abstract: Information extracted from L-fuzzy contexts is substantially improved by taking into account different points of view, which can roughly be represented by criteria. This work addresses the general study of L-fuzzy contexts were a set of criteria is introduced, analyzing situations in which their evolution over time is known. The relationship among criteria is also an important point in the study. In this sense, the treatment will vary depending on whether they are independent criteria or there exists dependency among them. Of special importance will be those elements that stand out for presenting a positive temporal evolution. Four algorithms are …proposed in order to analyze the different situations. Finally, the applicability of the results is shown thought an example where the opinion of the clients of several hotels is analyzed taking into account both the type of traveler considered and the different aspects of the establishments on which a score is given. Show more

Keywords: L-fuzzy concept analysis, L-fuzzy context sequences, L-fuzzy contexts associated with criteria, WOWA operators, Choquet integrals

DOI: 10.3233/JIFS-189102

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Hamid, Muhammad Tahir | Riaz, Muhammad | Afzal, Deeba

Article Type: Research Article

Abstract:  In this article, we study some concepts related to q -rung orthopair fuzzy soft sets (q -ROFS sets), together with their algebraic structure. We present operations on q -ROFSSs and their specific properties and elaborate them with real-life examples and tabular representations to develop influx of linguistic variables based on q -rung orthopair fuzzy soft (q -ROFS) information. We present an application of q -ROFS sets to multi-criteria group decision-making (MCGDM) process related to the university choice, accompanied by algorithm and flowchart. We develop q -ROFS TOPSIS method and q -ROFS VIKOR method as extensions of TOPSIS (a technique for …ordering preference through the ideal solution) and VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje), respectively. Finally, we tackle a problem of construction business utilizing q -ROFS TOPSIS and q -ROFS VIKOR methods. Show more

Keywords: q-rung orthopair fuzzy soft sets, MCGDM, aggregation operator, TOPSIS, VIKOR

DOI: 10.3233/JIFS-192195

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-19, 2020

Authors: Xiao, Lu | Zhang, Siqi | Wei, Guiwu | Wu, Jiang | Wei, Cun | Guo, Yanfeng | Wei, Yu

Article Type: Research Article

Abstract: Since people around the world have gradually attached importance to resource conservation, various countries are actively taking measures to promote environmental protection and sustainable development. Green supply chain management (GSCM) have emerged in this context. Thus, in this essay, a novel intuitionistic fuzzy multiple attribute group decision making (MAGDM) method is designed to tackle this issue. First of all, CRITIC (Criteria Importance Through Inter-criteria Correlation) method is utilized to determine the weights of criteria. Later, the conventional Taxonomy method is extended to the intuitionistic fuzzy environment to compute the value of development attribute of each supplier. Then, the optimal one …can be determined. Eventually, an application about green supplier selection in steel industry is presented, and a comparative analysis is made to demonstrate the superiority of the proposed method. The main features of the proposed algorithm are that they provide a practical solution for selecting GSCM and presents an objective weighting method to enhance the effectiveness of the algorithm. Show more

Keywords: Multiple attribute group decision making (MAGDM), green supply chain management (GSCM), intuitionistic fuzzy sets (IFSs), taxonomy method, CRITIC method, steel industry

DOI: 10.3233/JIFS-200709

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Piltan, Farzin | Prosvirin, Alexander E. | Kim, Jong-Myon

Article Type: Research Article

Abstract: Robotic manipulators represent a class of nonlinear and multiple-degrees-of-freedom robots that have pronounced coupling effects and can be used in various applications. The challenge of understanding complexity in a system’s dynamic behavior, coupling effects, and sources of uncertainty presents substantial challenges regarding fault estimation, detection, identification, and tolerant-control (FEDIT) in a robot manipulator. Thus, a proposed active fault-tolerant control algorithm, based on an adaptive modern sliding mode observer, is represented. Due to the effect of the system’s complexities and uncertainties for fault estimation, detection, and identification (FEDI), a sliding mode observer (SMO) is proposed. To address the sliding mode observer …drawbacks for FEDI such as high-frequency oscillation (chattering) and fault estimation accuracy, the modern (T-S fuzzy higher order) technique is represented. In addition, the adaptive technique is applied to the modern sliding mode observer (MSMO) to self-tune the coefficients of the fault estimation observer to increase the reliability and robustness of decision-making for diagnosis of the fault. Next, the residual delivered by the adaptive MSMO (AMSMO) is split into windows, and each window is characterized by a numerical parameter. Finally, the machine learning technique known as a decision tree adaptively derives the threshold values that are used for problems of fault detection and fault identification in this work. Due to control of the effective fault, a surface automated new sliding mode controller (SANSMC) is presented in this work. To address the challenge of chattering and unlimited uncertainties (faults), the AMSMO is applied to the sliding mode controller (SMC). In addition, the surface-automated technique is used to fine-tune the surface coefficient to reduce the chattering and faults in the robot manipulator. The results show that the machine learning-based automated robust hybrid observer significantly improves the robustness, reliability, and accuracy of FEDIT in unknown conditions. Show more

Keywords: Robot manipulator, sliding mode algorithm, observation technique, fuzzy logic technique, high-order sliding mode observer, adaptive technique, fault estimation, fault detection, fault identification, fault-tolerant control.

DOI: 10.3233/JIFS-189109

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-21, 2020

Authors: Wang, Guijun | Zhou, Jie

Article Type: Research Article

Abstract: The polygonal fuzzy set is an effective tool to express a class of fuzzy information with the help of finite ordered real numbers. It can not only guarantee the closeness of arithmetic operation of the polygonal fuzzy sets, but also has good linearity and intuitiveness. Firstly, the concept of the n -intuitionistic polygonal fuzzy set (n -IPFS) is proposed based on the intuitionistic fuzzy set and the polygonal fuzzy set. The ordered representation and arithmetic operation of n -IPFS are given by an example. Secondly, a new aggregation method for multi attribute fuzzy information is given based on the n …-IPFS operations and the weighted arithmetic average operator, and the ranking criteria of n -IPFS are obtained by using the score function and the accuracy function. Finally, a new group decision making method is proposed for urban residents to choose the livable city problem based on the decision matrix of the n -IPFS, and the effectiveness of the proposed method is explained by an actual example. Show more

Keywords: Polygonal fuzzy set, n-intuitionistic polygonal fuzzy set (n-IPFS), ordered representation, aggregation operator, score function, group decision making

DOI: 10.3233/JIFS-191844

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2020

Authors: Tolga, A. Cagri | Basar, Murat

Article Type: Research Article

Abstract: Increasing population in the world drives people to find a different type of feeding regime. Even if there is an immense augmentation in crowd brilliant innovators are looking for new ways of farming more efficiently. Hydroponics is one of the novel paths that is a planting system without soil. The system reduces water usage by 95% and with the same rate provides efficiency in the crop, furthermore, sustainability is highly supplied. Traditional smart farming applied in the rural area strains immense transportation and brokership costs. In these days innovators make smart agriculture in vessel containers. Especially vertical and smart farming …made in the suburban area of the cities offers new opportunities on vegetables’ abundance. In this paper, the efficiency of this offered system is examined with minimizing the investment cost data. The system itself and the investment area have abounded with myriad uncertainties. Fuzzy logic tackles with those vaguenesses and fuzzy Evaluation Based on Distance from Average Solution (EDAS) method supplies assistance in the decision-making process of system evaluation. In addition, TODIM (a risk sensitive iterative multi-criteria decision making method based on Prospect Theory) is employed to check the evaluation of those three alternatives and to monitor how risk perception affects decision processes. A micro-based application is performed and attractive results are achieved. Show more

Keywords: Vertical urban agriculture, fuzzy EDAS method, fuzzy TODIM, investment cost, smart farming

DOI: 10.3233/JIFS-189100

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Gutiérrez, Inmaculada | Gómez, Daniel | Castro, Javier | Espínola, Rosa

Article Type: Research Article

Abstract: In this work we introduce the notion of the weighted graph associated with a fuzzy measure. Having a finite set of elements between which there exists an affinity fuzzy relation, we propose the definition of a group based on that affinity fuzzy relation between the individuals. Then, we propose an algorithm based on the Louvain’s method to deal with community detection problems with additional information independent of the graph. We also provide a particular method to solve community detection problems over extended fuzzy graphs. Finally, we test the performance of our proposal by means of some detailed computational tests calculated …in several benchmark models. Show more

Keywords: Fuzzy clustering, networks, community detection, fuzzy graph

DOI: 10.3233/JIFS-189091

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2020

Authors: Fahmi, Aliya | Aslam, Muhammad | Ahmed, Rehan

Article Type: Research Article

Abstract: A novel idea of linguistic interval-valued intuitionistic neutrosophic fuzzy numbers (LIVINFNs) and operational laws of the numbers are introduced in this paper. LIVINF TOPSIS method is developed and application of the developed TOPSIS method to a multi-attribute group decision making (MAGDM) problem in a LIVINF environment is discussed. Finally, a numerical example is presented to validate this new approach in group decision making problems.

Keywords: Fuzzy logic, linguistic term, neutrosophic, TOPSIS method

DOI: 10.3233/JIFS-200029

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Oztaysi, Basar | Onar, Sezi Cevik | Kahraman, Cengiz

Article Type: Research Article

Abstract: Location-Based Systems enable novel business models that can locate a person and send an action or message to him/her. One of the most commonly adopted location-based business models is location-based advertisements. Companies can send customized messages to target customers by using location-based ads. The model is promising since the conversion rate of the customers is high. On the other side, since the customers can be targeted based on their locations and interests, the price of the advertisement should be modeled a dynamic pricing model. In this study, we propose a dynamic pricing model for location-based ads by using the Spherical …Fuzzy AHP method. Show more

Keywords: Location-based advertisements, AHP scoring, spherical fuzzy sets

DOI: 10.3233/JIFS-189097

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020