Journal of Intelligent & Fuzzy Systems - Volume 38, issue 1

Authors: Bayram, Mehmet | Akat, Muzaffer | Bulkan, Serol

Article Type: Research Article

Abstract: Pairs trading is a widespread market-neutral trading strategy aiming to utilize the relationship between pairs of financial instruments in efficient markets, where predictability of separate asset movements is theoretically not possible. The implication of trading pairs, following statistical analysis, is to buy the underpriced asset while short selling the overpriced. The predicted price relationship is determined through analysis of historical spread data between the members of the corresponding pair. The investor expects the price difference, in an efficient market, should converge and stocks return to their ‘fair value’, where the positions are closed and profit is realized. The main focus …of this study is the contribution of the fuzzy engine to the existing pairs trading strategy. Widespread classical ‘crisp’ technique is chosen, utilized and compared with the developed ‘fuzzy’ model throughout the paper. In order to further improve this contribution, the expert opinions extracted from the Bloomberg database are also integrated into the fuzzy decision-making process. In most studies, transaction costs are simply ignored. As a final robustness check, the transaction costs are also considered. The improvement reached by the developed fuzzy technique is observed to be even more remarkable in this case. Show more

Keywords: pairs trading, algorithmic trading, fuzzy statistical arbitrage

DOI: 10.3233/JIFS-179442

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 697-707, 2020

Authors: López-Medina, M.A. | Espinilla, M. | Cleland, I. | Nugent, C. | Medina, J.

Article Type: Research Article

Abstract: Fog Computing is an approach involving smart devices. These devices carry out data processing to provide collaborative services to reach a common goal, usually, in the cloud. In the fog computing paradigm, uncertainty and vagueness are inherent to the data processing due to the limitations of computational and communication capabilities of the smart devices. Fuzzy logic and protoforms represent a powerful tool to model and compute imprecise data presented within the fog-computing paradigm. In this paper, we present a fuzzy cloud-fog approach based on fuzzy temporal windows and fuzzy aggregation. The innovations of this paper are: i) to model the …uncertainty involved in fog nodes linguistically, ii) to compute and distribute relevant linguistic information (protoforms), and iii) to publish the computed protoforms in the cloud to generate complex protoforms, which reach the common goal. This new fuzzy cloud-fog approach is applied to the problem of activity recognition in smart homes. In this context, the smart devices in a smart home are represented by fog nodes, which cooperate for activity recognition using a fuzzy cloud-fog computing approach to provide solutions in ambient-assisted living. Finally, to demonstrate the effectiveness of the proposal in handling situations/environments where multiple and heterogeneous devices are involved (such as UWB beacons, smart objects and smart wearable devices), a case study of the proposed fuzzy cloud-fog approach is implemented in the smart lab of the University of Jaén. So, the results obtained with the proposed approach in the case study are compared to the results obtained with a non-fuzzy approach with the aim of showing the advantages of the fuzzy methodology. Show more

Keywords: Fuzzy fog computing, fuzzy cloud computing, smart devices, UWB technology, activity recognition, protoforms, fuzzy temporal windows, fuzzy aggregation

DOI: 10.3233/JIFS-179443

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 709-721, 2020

Authors: Yörükoğlu, Mehmet | Aydın, Serhat

Article Type: Research Article

Abstract: The Industrial Revolution, which started with steam machines, has evolved into intelligent systems in which objects speak to each other in the name of Industry 4.0. Smart containers (SC), which are the latest in this evolution of containers and one of the key elements of logistic in Supply Chain Management System (SCMS), stand out with their flexibility, traceability, and contribution to the optimization of the supply chain. In this paper the existing properties of the currently evolving smart containers are compiled and the users’ needs that will guide future designs are determined. In the application section, three different smart containers …are evaluated according to seven different conflicting criteria in neutrosophic environment. By using neutrosophic TOPSIS method relative closeness coefficient of alternatives are calculated. Finally alternatives are ranked in descending order. The originality of the paper is that smart containers evaluation problem is handled by the neutrosophic MCDM method for the first time in the literature. Show more

Keywords: Industry 4.0, smart container, multi criteria decision making, neutrosophic TOPSIS

DOI: 10.3233/JIFS-179444

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 723-733, 2020

Authors: Labella, Álvaro | Rodríguez, Rosa M. | Martínez, Luis

Article Type: Research Article

Abstract: Group Decision Making (GDM) deals with decision problems in which multiple experts, with their own attitudes and knowledge, evaluate different alternatives or solutions with the aim of achieving a common solution. In such cases disagreements can appear, which might led to failed solutions. To manage such conflicts, Consensus Reaching Processes (CRPs) have been added to the GDM solving process. GDM problems under uncertainty often model uncertainty by linguistic descriptors, being most of linguistic based CRPs based on the use of single linguistic terms for modelling experts’ opinions, which cannot be expressive enough in some situations because of either the uncertainty …involved or the experts’ hesitancy. Therefore, this paper aims to fill this gap by proposing a novel consensus model dealing with GDM problems in which experts’ preferences are elicited by means of Comparative Linguistic Expressions (CLEs) based on Hesitant Fuzzy Linguistic Term Sets, which allow to model the experts’ hesitancy in a flexible way. Furthermore, CLEs are modelled by fuzzy membership functions in order to keep the fuzzy representation in the whole CRP and preserve as much information as possible. Additionally, the proposed model is implemented and integrated in an intelligent CRP support system, so-called AFRYCA 3.0 to carry out a case study about this new CRP and compare it with previous models. Show more

Keywords: group decision making, comparative linguistic expressions, hesitant fuzzy linguistic term sets, consensus reaching process

DOI: 10.3233/JIFS-179445

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 735-748, 2020

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

Article Type: Research Article

Abstract: Neutrosophic sets are an extension of intuitionistic fuzzy sets, providing a new approach to uncertainty with their three components: Truth, indeterminacy, and falsity. These parameters can be assigned independently which makes their sum equal to at most three. Neutrosophic sets have been extensively employed in the new extensions of multicriteria decision making methods (MCDM) in the literature. Law firms who are business entities formed by one or more lawyers are associations of lawyers who practice law. We propose a neutrosophic analytic hierarchy process (NAHP) for comparing the performances of these law firms in this paper. The performance of law offices …is comparatively measured by the proposed NAHP. Linguistic assessments are used in this process rather than exact numerical evaluations. The illustrative problem hierarchy includes four criteria and four alternatives are given. Show more

Keywords: Single-valued neutrosophic sets, interval-valued neutrosophic sets, AHP, outsourcing, law firm, MCDM

DOI: 10.3233/JIFS-179446

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 749-759, 2020

Authors: Guleria, Abhishek | Bajaj, Rakesh Kumar

Article Type: Research Article

Abstract: In the present communication, a new (R , S )-norm discriminant measure of Pythagorean fuzzy sets has been proposed along with its various properties. Monotonic behavior with respect to the parameters R & S and their proof of validity have also been studied. Methodologies and necessary steps of the algorithms for various decision-making problems viz. pattern recognition problem, medical diagnosis problem and multi criteria decision-making problem have been outlined on the basis of the proposed information measure. For the sake of illustration, numerical example for each case has been provided. A comparative analysis for the considered applications has …also been studied in contrast with the popular existing methodologies stating important observations and advantages. Show more

Keywords: Pythagorean fuzzy set, discriminant measure, monotonicity, pattern recognition, medical diagnosis, multiple criteria decision making

DOI: 10.3233/JIFS-179447

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 761-777, 2020

Authors: Deli, Irfan

Article Type: Research Article

Abstract: Selecting an appropriate robot among the alternative robots is a difficult problem for decision makers, since it is complicated to express attributes as crisp numbers in multiple attribute decision making problems. Generalized trapezoidal hesitant fuzzy numbers(GTHF-numbers) can be efficiently used to estimate information in the decision making process. This paper proposes an advanced type of TOPSIS (Technique for order preference by similarity to ideal solution) method, called TOPSIS method of GTHF-numbers. To do this, we introduce some novel distance measures including Hamming distance measure, Euclidean distance measure, λ -generalized distance measure, λ -generalized Hausdorff distance measure, γ -hybrid Hamming distance, …hybrid Euclidean distance and λ -generalized hybrid distance measure on GTHF-numbers. Then, we develop a novel TOPSIS method of GTHF-numbers based on introduced distance measures. Finally, we provide a real example, for an auto company which desires to select a suitable robot for its production process, based on the proposed TOPSIS method of GTHF-numbers to prove the efficiency and the applicability of the proposed method. Show more

Keywords: Hesitant fuzzy set, generalized trapezoidal hesitant fuzzy number, distance measures, TOPSIS method, multiple attribute decision making, robot selection

DOI: 10.3233/JIFS-179448

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 779-793, 2020

Authors: Bashir, Zia | Abbas Malik, M.G. | Asif, Saba | Rashid, Tabasam

Article Type: Research Article

Abstract: In this paper, an in depth study is done on topological properties of intuitionistic fuzzy rough sets in light of different conditions like serial, strongly serial, left continuity, transitivity on intuitionistic fuzzy relations, t-norms, implicators by adopting a axiomatic approach with the ingredients of intuitionistic fuzzy logic. Numerous intuitionistic fuzzy topologies based on many different kinds of intuitionistic fuzzy relations are explored. Also, a special class of intuitionistic fuzzy relations known as T -similarity class has been studied algebraically and found interesting lattices to model real life problems for better applications of intuitionistic fuzzy rough sets.

Keywords: Intuitionistic fuzzy rough sets, intuitionistic fuzzy topologies, intuition fuzzy logic, lattices

DOI: 10.3233/JIFS-179449

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 795-807, 2020

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

Article Type: Research Article

Abstract: The education system is very important for the society. In this study, we try to define and prioritize the requirements of an n online platform which can be used as a source for collecting feedback from stakeholders of an educating system. The involved stakeholders are the course content generators, teachers, students and families of the students. In the application three experts used linguistic terms to evaluate the performance indicators and the weights are calculated using Pythagorean Fuzzy Analytic Hierarch Process (AHP) Method.

Keywords: System design, fuzzy sets, pythagorean fuzzy sets, analytic hierarchy process

DOI: 10.3233/JIFS-179450

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 809-819, 2020

Authors: Castillo, Oscar | Kutlu, Fatih | Atan, Özkan

Article Type: Research Article

Abstract: This paper proposes an intuitionistic fuzzy control method for twin rotor multi-input and multi-output (twin rotor MIMO) systems. Twin rotor MIMO systems are often used to measure the performance of control systems as they are extremely sensitive to environmental factors. The use of the intuitionistic fuzzy control method for modeling these uncertainties offers an effective way to increase the robustness of the control system to uncertainties in the structure of twin rotor MIMO systems. In this study, two intuitionistic fuzzy controllers are designed, namely for the main and tail rotors separately and then combine the outputs of these rotors. Also, …this method is compared with the classical optimal PID method in terms of stability and performance by various simulations and experiments. Show more

Keywords: Fuzzy and intuitionistic fuzzy set, intuitionistic fuzzy control, twin rotor MIMO

DOI: 10.3233/JIFS-179451

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 821-833, 2020