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Journal articles on the topic 'Control tuple'

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Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

GONZÁLEZ, LUIS. "ALGORITHM COMPARING BINARY STRING PROBABILITIES IN COMPLEX STOCHASTIC BOOLEAN SYSTEMS USING INTRINSIC ORDER GRAPH." Advances in Complex Systems 10, supp01 (August 2007): 111–43. http://dx.doi.org/10.1142/s0219525907001136.

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This paper deals with a special kind of complex systems which depend on an arbitrary (and usually large) number n of random Boolean variables. The so-called complex stochastic Boolean systems often appear in many different scientific, technical or social areas. Clearly, there are 2n binary states associated to such a complex system. Each one of them is given by a binary string u = (u1,…,un) ∈ {0, 1}n of n bits, which has a certain occurrence probability Pr {u}. The behavior of a complex stochastic Boolean system is determined by the current values of its 2n binary n-tuple probabilities Pr {u} and by the ordering between pairs of them. Hence, the intrinsic order graph provides a useful representation of these systems by displaying (scaling) the 2n binary n-tuples which are ordered in decreasing probability of occurrence. The intrinsic order reduces the complexity of the problem from exponential (2n binary n-tuples) to linear (n Boolean variables). For any fixed binary n-tuple u, this paper presents a new, simple algorithm enabling rapid, elegant determination of all the binary n-tuples v with occurrence probabilities less than or equal to (greater than or equal to) Pr {u}. This algorithm is closely related to the lexicographic (truth-table) order in {0, 1}n, and this is illustrated through the connections (paths) in the intrinsic order graph.

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Liu, Xi, Zhifu Tao, Huayou Chen, and Ligang Zhou. "A MAGDM Method Based on 2-Tuple Linguistic Heronian Mean and New Operational Laws." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, no. 04 (August 2016): 593–627. http://dx.doi.org/10.1142/s0218488516500288.

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In this paper, we investigate the multiple attributes group decision making (MAGDM) problem with 2-tuple linguistic information. According to some closed operational laws of 2-tuple linguistic, some Algebra t-norm and s-norm based Heronian aggregation operators of 2-tuple linguistic information are put forward, the desired properties and the special cases where the parameters take different values are also discussed. Furthermore, a method of MAGDM under 2-tuple linguistic environment is proposed based on the Algebra t-norm and s-norm based 2-tuple linguistic Heronian mean operator or the Algebra t-norm and s-norm based 2-tuple linguistic weighted Heronian mean operator. Finally, a numerical example is presented to demonstrate the proposed method.

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3

Faizi, Shahzad, Tabasam Rashid, and Sohail Zafar. "A Multicriteria Decision-Making Approach Based on Fuzzy AHP with Intuitionistic 2-Tuple Linguistic Sets." Advances in Fuzzy Systems 2018 (August 1, 2018): 1–12. http://dx.doi.org/10.1155/2018/5789192.

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In the modern literature related to linguistic decision-making, the 2-tuple linguistic representation model and its useful applications in various fields have been extensively studied and used during the last decade. Recently, some useful multicriteria decision-making (MCDM) methods have been introduced based on fuzzy analytic hierarchy process (AHP) for 2-tuple linguistic representation model. By keeping in mind the importance of this linguistic model, in this paper, we introduce a fuzzy AHP methodology for intuitionistic 2-tuple linguistic sets (I2TLSs) which is a useful extension of the 2-tuple linguistic representation model. This study is comprised of four stages. In the first stage, we define some operational laws for I2TL elements (I2TLEs) and prove some related important properties. In the second stage, intuitionistic 2-tuple linguistic preference relation (I2TLPR) and multiplicative I2TLPR are defined using I2TLSs. In the 3rd stage, a transformation mechanism is introduced which can transform an I2TLPR to a corresponding intuitionistic preference relation (IPR) and vice versa. In the fourth stage, an approach is proposed for checking the consistency of an I2TLPR and presented a method to repair the inconsistent one by using the proposed transformation mechanism. Finally, a numerical example is given and comparative analysis is carried out with the TOPSIS method to verify the validity of the proposed method.

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PEI, ZHENG, LI ZOU, and LIANGZHONG YI. "A LINGUISTIC AGGREGATION OPERATOR INCLUDING WEIGHTS FOR LINGUISTIC VALUES AND EXPERTS IN GROUP DECISION MAKING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, no. 06 (December 2013): 927–43. http://dx.doi.org/10.1142/s0218488513500426.

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Different linguistic aggregation methods have been proposed and applied in the linguistic decision making problems. Generally, weights for experts or criteria are considered in linguistic aggregation processes. In this paper, we provide a method to discovery new forms to compute weights and new interpretations in the linguistic ordered weighted averaging operator. In linguistic decision analysis, it can be noticed that some of initial linguistic values used by experts have priority over others linguistic values in evaluation processes. We formalize the priority over initial linguistic values as weights for linguistic values, by considering weights for linguistic values as well as weights for experts, we provide an alternative method to discovery weights information of the linguistic ordered weighted averaging operator, its properties show that such linguistic aggregation operator is extensions of the 2-tuple arithmetic mean, the 2-tuple weighted aggregation operator and the 2-tuple ordered weighted averaging operator. By an illustrative example, we compare the linguistic aggregation operator with the 2-tuple weighted aggregation operator and the 2-tuple ordered weighted averaging operator in a decision making problem. From the practical point of view, we provide an optimization model to obtain such weights information in linguistic aggregation processes, examples show the linguistic aggregation operator as an alternative linguistic ordered weighted averaging operator in practice.

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5

Qin, Jindong, and Xinwang Liu. "2-tuple linguistic Muirhead mean operators for multiple attribute group decision making and its application to supplier selection." Kybernetes 45, no. 1 (January 11, 2016): 2–29. http://dx.doi.org/10.1108/k-11-2014-0271.

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Purpose – The purpose of this paper is to develop some 2-tuple linguistic aggregation operators based on Muirhead mean (MM), which is combined with multiple attribute group decision making (MAGDM) and applied the proposed MAGDM model for supplier selection under 2-tuple linguistic environment. Design/methodology/approach – The supplier selection problem can be regarded as a typical MAGDM problem, in which the decision information should be aggregated. In this paper, the authors investigate the MAGDM problems with 2-tuple linguistic information based on traditional MM operator. The MM operator is a well-known mean type aggregation operator, which has some particular advantages for aggregating multi-dimension arguments. The prominent characteristic of the MM operator is that it can capture the whole interrelationship among the multi-input arguments. Motivated by this idea, in this paper, the authors develop the 2-tuple linguistic Muirhead mean (2TLMM) operator and the 2-tuple linguistic dual Muirhead mean (2TLDMM) operator for aggregating the 2-tuple linguistic information, respectively. Some desirable properties and special cases are discussed in detail. Based on which, two approaches to deal with MAGDM problems under 2-tuple linguistic information environment are developed. Finally, a numerical example concerns the supplier selection problem is provided to illustrate the effectiveness and feasibility of the proposed methods. Findings – The results show that the proposed can solve the MAGDM problems within the context of 2-tuple linguistic information, in which the attributes are existing interaction phenomenon. Some 2-tuple aggregation operators based on MM have been developed. A case study of supplier selection is provided to illustrate the effectiveness and feasibility of the proposed methods. The results show that the proposed methods are useful to aggregate the linguistic decision information in which the attributes are not independent so as to select the most suitable supplier. Practical implications – The proposed methods can solve the 2-tuple linguistic MAGDM problem, in which the interactions exist among the attributes. Therefore, it can be used to supplier selection problems and other similar management decision problems. Originality/value – The paper develop some 2-tuple aggregation operators based on MM, and further present two methods based on the proposed operators for solving MAGDM problems. It is useful to deal with multiple attribute interaction decision-making problems and suitable to solve a variety of management decision-making applications.

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Abiteboul, Serge, and Seymour Ginsburg. "Tuple sequences and lexicographic indexes." Journal of the ACM 33, no. 3 (May 1986): 409–22. http://dx.doi.org/10.1145/5925.5926.

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7

YANG, WEI. "INDUCED CHOQUET INTEGRALS OF 2-TUPLE LINGUISTIC INFORMATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, no. 02 (April 2013): 175–200. http://dx.doi.org/10.1142/s0218488513500104.

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The group decision making problem with inter-dependent or interactive attributes is studied. By using the Choquet integral and the inducing variables, we develop the induced 2-tuple correlated averaging (ITCA) operator, the generalized induced 2-tuple correlated averaging (GITCA) operator and the quasi-arithmetic induced 2-tuple correlated averaging (QITCA) operator. The characteristics of the proposed operators are that the evaluation values of decision makers are in linguistic arguments, the correlations among the elements can be reflected and the ordering of the arguments is based on other associated variables instead of their own values. The properties of these operators are studied and new multiple attribute decision making method based on the new operators is proposed. Finally, architecture material supplier selection problem is provided to illustrate the feasibility and efficiency of the proposed method.

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8

SANG, XIUZHI, and XINWANG LIU. "PARAMETERIZED 2-TUPLE LINGUISTIC MOST PREFERRED OWA OPERATORS AND THEIR APPLICATION IN DECISION MAKING." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, no. 06 (December 2013): 799–819. http://dx.doi.org/10.1142/s0218488513500384.

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The most preferred OWA (MP-OWA) operator is a new method to aggregate preference information with crisp numbers, whose weights are related with the frequency of the most preferred assessment to each criteria. However, people are usually not able to estimate their preference degrees with crisp number, since they have a vague knowledge about the preference assessment. In this paper, we propose a 2-tuple linguistic MP-OWA (LMP-OWA) operator. It is useful because it can be used to make decision with linguistic preference relations, and the weighting vector is not only connected to the maximum frequency of the assessment to the criteria, but also to the assessment values. Meanwhile, we introduce the parameterized 2-tuple LMP-OWA operator and the parameterized 2-tuple LMP-OWA operator with power function, which provide multiple aggregation results for decision makers to select. The paper ends up with an example of decision making with linguistic preference relations in movie recommender system.

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9

Han, Chun Yan, Lian Zhong Liu, and Yi Fei Yuan. "Time Constraints of Access Control." Applied Mechanics and Materials 602-605 (August 2014): 3791–95. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3791.

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Currently, researches on time constraints for access control are not complete. To solve this problem, this paper enriches the time constraints for access control from the following aspects: firstly, we propose a four-tuple representation of time constraint by combining discrete time representation and periodic time representation; secondly, we put forward a function of computing the time of state changing on the basis of (1); finally, aiming at conflicts detecting and resolution for time constraints, we raise an algorithm for conflicts detection and resolution based on XACML and entities overlapping detection.

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10

Kulik, B. A. "N-tuple algebra-based probabilistic logic." Journal of Computer and Systems Sciences International 46, no. 1 (February 2007): 111–20. http://dx.doi.org/10.1134/s1064230707010133.

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11

Mi, Chuanmin, Xiaofei Shan, Yuan Qiang, Yosa Stephanie, and Ye Chen. "A new method for evaluating tour online review based on grey 2-tuple linguistic." Kybernetes 43, no. 3/4 (April 1, 2014): 601–13. http://dx.doi.org/10.1108/k-06-2013-0123.

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Purpose – Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big data scenario. How to evaluate tour online review and then recommend to potential tourists quickly and accurately are important parts of social responsibility of tour companies. The purpose of this paper is to propose a new method for evaluating tour online review based on grey 2-tuple linguistic. Design/methodology/approach – The phenomenon of “poor information” exists in some big data scenario. According to social responsibility, grey 2-tuple linguistic evaluation model for tour online review is proposed. Findings – Tour social networks contain data that are valuable to each individual on tourism industry's value chain. Grey 2-tuple linguistic evaluation model can be used for evaluating tour online reviews. This is a systems thinking method that takes social responsibility into account. Research limitations/implications – Due to the complex links among reviewers in social network, network mining approaches and models are expected to be added to this research in the near future. Practical implications – Grey 2-tuple linguistic evaluation method can contribute to the future research on evaluating a variety of tour social network comment data in the real world. Originality/value – A new evaluation method for making evaluation and recommendations based on tour social network comment information is proposed.

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12

Belyaev, Kirill, and Indrakshi Ray. "Component-oriented access control—Application servers meet tuple spaces for the masses." Future Generation Computer Systems 86 (September 2018): 726–39. http://dx.doi.org/10.1016/j.future.2017.05.003.

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13

Wang, Hao, and Huan Wang. "Correlated tuple data release via differential privacy." Information Sciences 560 (June 2021): 347–69. http://dx.doi.org/10.1016/j.ins.2021.01.058.

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LI, DENG-FENG. "Multiattribute Group Decision Making Method Using Extended Linguistic Variables." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17, no. 06 (December 2009): 793–806. http://dx.doi.org/10.1142/s0218488509006273.

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The aim of this paper is to use the concept of extended linguistic variables to develop a new methodology for solving multiattribute group decision making problems under linguistic assessments. In this methodology, using the generalized induced ordered weighted averaging operator and extended linguistic variables, linguistic ratings of each alternative on all attributes for each decision maker are aggregated into a comprehensive assessment, which is not always a linguistic term in the linguistic term set designated a priori. Comprehensive assessments of each alternative on all decision makers are similarly aggregated into a comprehensive assessment of the alternative for the group. An optimal linguistic term in the linguistic term set which approaches the comprehensive assessment of each alternative for the group as close as possible is computed and an extended 2-tuple fuzzy linguistic representation is obtained for the alternative. The ranking order of alternatives for the group is generated according to the extended 2-tuple fuzzy linguistic representations. A numerical example is examined to demonstrate applicability and implementation process of the methodology proposed in this paper.

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15

Ebrahimi, Javad, and Hamidreza Karshenas. "N-Tuple Flying Capacitor Multicell Converter—A Generalized Modular Hybrid Topology." IEEE Transactions on Industrial Electronics 66, no. 7 (July 2019): 5004–14. http://dx.doi.org/10.1109/tie.2018.2868024.

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16

Draim, John E. "Continuous global N-tuple coverage with (2N + 2) satellites." Journal of Guidance, Control, and Dynamics 14, no. 1 (January 1991): 17–23. http://dx.doi.org/10.2514/3.20599.

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17

Henning, Michael A., and Adel P. Kazemi. "k-tuple total domination in cross products of graphs." Journal of Combinatorial Optimization 24, no. 3 (February 2, 2011): 339–46. http://dx.doi.org/10.1007/s10878-011-9389-z.

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18

SHEU, P. C. Y., and W. S. LEE. "AN OBJECT-ORIENTED RULE EVALUATION SCHEME FOR LOGICAL DATABASES IN MASSIVELY PARALLEL ENVIRONMENT." International Journal on Artificial Intelligence Tools 03, no. 04 (December 1994): 525–55. http://dx.doi.org/10.1142/s0218213094000297.

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This paper extends an object-oriented approach to query processing in a deductive database with the consideration of deductive rules. In the object-oriented approach, each deductive rule and fact is represented as an active object, which acts with its own dedicated control sequences according to its functionality. All operations in objects are proceeded asynchronously. Since no object has global knowledge about the database, cooperation among objects is necessary in answering a query. While most of the conventional search strategies focus on some parts of the AND/OR tree expanded by a query at a time, the object-oriented approach can search down the AND/OR tree with a breadth-first strategy in parallel. As a result, all parts of the tree can be considered globally so that queries do not have to be evaluated in a tuple-by-tuple, operation-by-operation fashion; and the need of maintaining temporary relations can be eliminated.

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BLANCO, IGNACIO J., MARIA J. MARTIN-BAUTISTA, OLGA PONS, and M. AMPARO VILA. "A TUPLE-ORIENTED ALGORITHM FOR DEDUCTION IN A FUZZY RELATIONAL DATABASE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11, supp01 (September 2003): 47–66. http://dx.doi.org/10.1142/s0218488503002260.

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In this paper, we define the concept of generalized rule for making classical deduction with imprecise data, stored both data and rules in a fuzzy relational database represented in the GEFRED model. We propose a way of measuring the imprecision related to the calculation of a fact based on the matching degree of the facts in the database and the facts calculated while expanding the rules. In order to achieve this, classical algorithms for deduction are not appropriated and we propose the modifications that have to be applied on a classical tuple-oriented algorithm in order to design a new algorithm for deducing from imprecise data with generalized rules.

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20

Wang, Jianhua, Lianglun Cheng, and Jun Liu. "A New Spatio-temporal Event Model based on Multi-tuple for Cyber-Physical Systems." International Journal of Control and Automation 6, no. 6 (December 31, 2013): 51–62. http://dx.doi.org/10.14257/ijca.2013.6.6.06.

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21

Qin Gao, Zhenjing Yao, and Xingang Wang. "An Approach to Evaluating The Power Supply Control System Designs with 2-Tuple Linguistic Information." International Journal of Digital Content Technology and its Applications 6, no. 22 (December 31, 2012): 385–91. http://dx.doi.org/10.4156/jdcta.vol6.issue22.44.

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22

Gupta, Vishal, Manu Verma, and Mohammad Saeed Khan. "Some Modified Fixed Point Results in V-Fuzzy Metric Spaces." Advances in Fuzzy Systems 2019 (March 27, 2019): 1–10. http://dx.doi.org/10.1155/2019/6923937.

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The present research paper focuses on the existence of fixed point in V-fuzzy metric space. The presentation of V-fuzzy metric space in n-tuple encourages us to define different mapping in the symmetric V-fuzzy metric space. Here, the properties of fuzzy metric space are extended to V-fuzzy metric space. The introduction of notion for pair of mappings (f,g) on V-fuzzy metric space called V-weakly commuting of type Vf and V-R weakly commuting of type Vf is given. This proved fixed point theorem in V-fuzzy metric space employing the effectiveness of E.A. property and CLRg property. For the justification of the results, some examples are illustrated.

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23

Martinez, L., and F. Herrera. "A 2-tuple fuzzy linguistic representation model for computing with words." IEEE Transactions on Fuzzy Systems 8, no. 6 (2000): 746–52. http://dx.doi.org/10.1109/91.890332.

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24

Zhang, Zao, and Guang Ya Si. "C2 Model of Agent-Based Radar Network." Applied Mechanics and Materials 347-350 (August 2013): 1063–67. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1063.

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Radar network is a typical complex adaptive system (CAS). The command and control (C2) of radar network plays a big part in improving the quality of the acquired data and the anti-damage ability of radar network. On the basis of analyzingradar networkcombat process,a method based on Agent was proposed to establish command and control (C2) modelof radar network.The structure of the Agent was put forward and based on that, theadaptive C2 model was represented as a 6-tuple system.The simulation experimentwas made in the presumed background and the results showed that the modeling of adaptive command and control of radar network was implemented.

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25

Han, Wook-Shin, Wooseong Kwak, Hwanjo Yu, Jeong-Hoon Lee, and Min-Soo Kim. "Leveraging spatial join for robust tuple extraction from web pages." Information Sciences 261 (March 2014): 132–48. http://dx.doi.org/10.1016/j.ins.2013.09.027.

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26

Islam, M., M. Okasha, M. M Idres, and H. Mansor. "Trajectory tracking of quaternion based quadrotor using model predictive control." International Journal of Engineering & Technology 7, no. 4.13 (October 9, 2018): 125. http://dx.doi.org/10.14419/ijet.v7i4.13.21343.

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The aim of this paper is to introduce the trajectory tracking with a quaternion based quadrotor operation using model predictive control (MPC). Since the efficacy of MPC on a system under noise and disturbance has been distinguished, it is a fair and successful attempt to apply MPC on the quaternion based quadrotor, which is a quite well-known system with uncertainties during operation. Quaternion approaches singularity-free orientation that is advantageous to design any trajectory for quadrotor wherein roll or pitch angle reaches at 90o. As a quaternion, with its four-tuple characteristics that incorporate vector elements, is different from Euler-angle orientation, a new cost function has been developed for the respective MPC controller. In order to achieve singularity-free orientations and abate the model infidelity of the system, the quaternion and MPC algorithm have been incorporated for quadrotor flight. Simulation based results elucidate the success of trajectory tracking of quaternion based dynamics of quadrotor using MPC approach.

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27

Zhao, Weidong, Tao Zhou, and Tao Kong. "High Order Numerical Schemes for Second-Order FBSDEs with Applications to Stochastic Optimal Control." Communications in Computational Physics 21, no. 3 (February 7, 2017): 808–34. http://dx.doi.org/10.4208/cicp.oa-2016-0056.

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AbstractThis is one of our series papers on multistep schemes for solving forward backward stochastic differential equations (FBSDEs) and related problems. Here we extend (with non-trivial updates) our multistep schemes in [W. Zhao, Y. Fu and T. Zhou, SIAM J. Sci. Comput., 36 (2014), pp. A1731-A1751] to solve the second-order FBSDEs (2FBSDEs). The key feature of the multistep schemes is that the Euler method is used to discretize the forward SDE, which dramatically reduces the entire computational complexity. Moreover, it is shown that the usual quantities of interest (e.g., the solution tuple (Yt,Zt,At,Γt) of the 2FBSDEs) are still of high order accuracy. Several numerical examples are given to show the effectiveness of the proposed numerical schemes. Applications of our numerical schemes to stochastic optimal control problems are also presented.

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28

Meng, Fanyong, Yige Yuan, and Xiaohong Chen. "Several Generalized Interval-Valued 2-Tuple Linguistic Interval Distance Measures and Their Application." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, no. 05 (September 4, 2017): 759–86. http://dx.doi.org/10.1142/s0218488517500337.

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Interval-valued linguistic variables are efficient tools to express the decision makers’ uncertain qualitative judgments. Considering the application of interval-valued linguistic variables, this paper proposes an interval distance measure, which is then used to define interval-valued linguistic interval distance measures by combining the 2-tuple linguistic representation model. To reflect the interactions between elements in a set, three correlative interval distance measures on intervalvalued linguistic variables are proposed. Meanwhile, several models designed to obtain the optimal weighting vector are constructed. After that, an approach to pattern recognition and to multi-attribute decision making with interval-valued linguistic information is developed. Meanwhile, associated examples are offered to demonstrate the concrete application of the proposed procedure.

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29

Dursun, Mehtap, and Nazli Goker. "A 2-tuple integrated DEA-based approach for neuromarketing technology evaluation." Kybernetes 48, no. 5 (May 7, 2019): 949–66. http://dx.doi.org/10.1108/k-01-2018-0014.

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Purpose Neuromarketing, which is an interdisciplinary area, concentrates on evaluating consumers’ cognitive and emotional reactions to different marketing stimuli. In spite of advantages, neuromarketing still requires development and lacks a strong theoretical framework. Techniques that are used in neuromarketing studies have different superiorities and limitations, and thus, there is a need for the evaluation of the relevance of these techniques. The purpose of this study is to introduce a novel integrated approach for the neuromarketing research area. Design/methodology/approach The proposed approach combines 2-tuple linguistic representation model and data envelopment analysis to obtain the most efficient neuromarketing technique. It is apt to handle information provided by using both linguistic and numerical scales with multiple information sources. Furthermore, it allows managers to deal with heterogeneous information, without loss of information. Findings The proposed approach indicates that functional magnetic resonance imaging (fMRI) is the best performing neuromarketing technology. Recently, fMRI has been widely used in neuromarketing research. In spite of its high cost, its main superiorities are improved spatial and temporal resolutions. On the other hand, transcranial magnetic stimulation (TMS) and positron emission tomography (PET) are ranked at the bottom because of their poor resolutions and lower willingness of participants. Originality/value This paper proposes a common weight data envelopment analysis (DEA)-based decision model to cope with heterogeneous information collected by the experts to determine the best performing neuromarketing technology. The decision procedure enables the decision-makers to handle the problems of loss of information and multi-granularity by using the fusion of 2-tuple linguistic representation model and fuzzy information. Moreover, a DEA-based common weight model does not require subjective experts’ opinions to weight the evaluation criteria.

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Pushkaryov, Kirill Vladimirovich. "Global optimization via neural network approximation of inverse coordinate mappings with evolutionary parameter control." Program Systems: Theory and Applications 10, no. 2 (2019): 3–31. http://dx.doi.org/10.25209/2079-3316-2019-10-2-3-31.

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A hybrid method of global optimization NNAICM-PSO is presented. It uses neural network approximation of inverse mappings of objective function values to coordinates combined with particle swarm optimization to find the global minimum of a continuous objective function of multiple variables with bound constraints. The objective function is viewed as a black box. The method employs groups of moving probe points attracted by goals like in particle swarm optimization. One of the possible goals is determined via mapping of decreased objective function values to coordinates by modified Dual Generalized Regression Neural Networks constructed from probe points. The parameters of the search are controlled by an evolutionary algorithm. The algorithm forms a population of evolving rules each containing a tuple of parameter values. There are two measures of fitness: short-term (charm) and long-term (merit). Charm is used to select rules for reproduction and application. Merit determines survival of an individual. This two-fold system preserves potentially useful individuals from extinction due to short-term situation changes. Test problems of 100 variables were solved. The results indicate that evolutionary control is better than random variation of parameters for NNAICM-PSO. With some problems, when rule bases are reused, error progressively decreases in subsequent runs, which means that the method adapts to the problem.

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Liu, Peide, and Shyi-Ming Chen. "Multiattribute group decision making based on intuitionistic 2-tuple linguistic information." Information Sciences 430-431 (March 2018): 599–619. http://dx.doi.org/10.1016/j.ins.2017.11.059.

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32

Kamel, Nabil, and Roger King. "Exploiting data-distribution patterns in modeling tuple selectivities in a database." Information Sciences 69, no. 1-2 (April 1993): 27–53. http://dx.doi.org/10.1016/0020-0255(93)90038-n.

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33

Qin, Biao, and Shan Wang. "Combining intensional with extensional query evaluation in tuple independent probabilistic databases." Information Sciences 181, no. 4 (February 15, 2011): 812–31. http://dx.doi.org/10.1016/j.ins.2010.11.001.

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Kuchuk, Nina, and Viktoriia Merlak. "Modeling of information interconnection in a computer control system of moving objects." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (February 27, 2021): 31–39. http://dx.doi.org/10.32620/reks.2021.1.02.

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The subject of research is a pool of widgets, which provides a user interface in a computer control system for moving objects. The object of research is the process of information exchange between the components of a computer system, which are directly involved in the control of moving objects. The task of allocating resources for a pool of widgets that provide operational control of moving objects is critical. As the number of elements increases in the pool of widgets, the competition for the resources of the computer system increases significantly, respectively, the queues for the most demanded resources grow. Therefore, it is necessary to reallocate resources between requests in such a way that the priorities of requests are taken into account, and the response time of operational requests does not exceed the standard time. Such distribution cannot be realized without a model that would show the parameters of all information flows between the components, which is the purpose of this article. In doing so, the model must consider the characteristics of the pool of widgets that support the user interface. Research results. To achieve this goal, several particular tasks were solved. First, the main sets were identified that will be involved in modeling information interconnections between software components that service requests for user interface widgets in a computer system environment. Then, a diagram of informational interconnections between these sets was developed. Further, the parameters of the requests, which were initiated by the widgets, of the applications, and the fragments of the widget query service database were determined and formalized. All this made it possible to form a model of information interconnections using a tuple of obtained vectors, sets, and Boolean matrices. In the proposed mathematical model, many limitations are imposed on the elements of this tuple, associated with the characteristic features of the control module for the user interface of the computer system. Besides, the limitations associated with the functioning of the basic network of the computer system are taken into account. In the final model, Boolean matrices affecting resource allocation defined as model variables. A fast algorithm for determining the space of admissible distributions is proposed. Conclusions. The developed mathematical model determines the parameters of information flows between the components of the computer system, which are involved in the control of moving objects. This model will allow for the operational reallocation of resources between requests using the proposed fast algorithm.

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Sun, Hui, Yuning Wang, and Si Liu. "Allocation of Residual Control Rights of a Public–Private Partnership Project based on 2-Tuple Linguistic Model." KSCE Journal of Civil Engineering 22, no. 11 (September 28, 2018): 4230–39. http://dx.doi.org/10.1007/s12205-017-0634-6.

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Wu, Lingye, Erfang Shan, and Zengrong Liu. "On the k-tuple domination of generalized de Brujin and Kautz digraphs." Information Sciences 180, no. 22 (November 2010): 4430–35. http://dx.doi.org/10.1016/j.ins.2010.07.001.

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Wahab, Raja Azhan Syah Raja, Siti Nurulain Mohd Rum, Hamidah Ibrahim, Fatimah Sidi, and Iskandar Ishak. "A Method for Processing Top-k Continuous Query on Uncertain Data Stream in Sliding Window Model." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 16 (May 25, 2021): 261–69. http://dx.doi.org/10.37394/23203.2021.16.22.

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The data stream is a series of data generated at sequential time from different sources. Processing such data is very important in many contemporary applications such as sensor networks, RFID technology, mobile computing and many more. The huge amount data generated and frequent changes in a short time makes the conventional processing methods insufficient. The Sliding Window Model (SWM) was introduced by Datar et. al to handle this problem. Avoiding multiple scans of the whole data sets, optimizing memory usage, and processing only the most recent tuple are the main challenges. The number of possible world instances grows exponentially in uncertain data and it is highly difficult to comprehend what it takes to meet Top-k query processing in the shortest amount of time. Following the generation of rules and the probability theory of this model, a framework was anticipated to sustain top-k processing algorithm over the SWM approach until the candidates expired. Based on the literature review study, none of the existing work have been made to tackle the issue arises from the top-k query processing of the possible world instance of the uncertain data streams within the SWM. The major issue resulted from these scenarios need to be addressed especially in the computation redundancy area that contributed to the increases of computational cost within the SWM. Therefore, the main objective of this research work is to propose the top-k query processing methods over uncertain data streams in SWM utilizing the score and the Possible World (PW) setting. In this study, a novel expiration and object indexing method is introduced to address the computational redundancy issues. We believed the proposed method can reduce computational costs and by managing insertion and exit policy on the right tuple candidates within a specified window frame. This research work will contribute to the area of computational query processing.

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Jin-Hsien Wang and Jongyun Hao. "A new version of 2-tuple fuzzy linguistic representation model for computing with words." IEEE Transactions on Fuzzy Systems 14, no. 3 (June 2006): 435–45. http://dx.doi.org/10.1109/tfuzz.2006.876337.

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Merigó, José M., and Anna M. Gil-Lafuente. "Induced 2-tuple linguistic generalized aggregation operators and their application in decision-making." Information Sciences 236 (July 2013): 1–16. http://dx.doi.org/10.1016/j.ins.2013.02.039.

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Zhao, Shuai, Bo Cheng, Le Yu, Shou-lu Hou, Yang Zhang, and Jun-liang Chen. "Internet of Things Service Provisioning Platform for Cross-Application Cooperation." International Journal of Web Services Research 13, no. 1 (January 2016): 1–22. http://dx.doi.org/10.4018/ijwsr.2016010101.

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With the development of Internet of Things (IoT), large-scale of resources and applications atop them emerge. However, most of existing efforts are “silo” solutions, there is a tight-coupling between the device and the application. The paradigm for IoT and its corresponding infrastructure are required to move away from isolated solutions towards cooperative models. Recent works have focused on applying Service Oriented Architecture (SOA) to IoT service provisioning. Other than the traditional services of cyberspace which are oriented to a two-tuple problem domain, IoT services are faced with a three-tuple problem domain of user requirement, cyberspace and physical space. One challenge of existing works is lacking of efficient mechanism to on-demand provisioning the sensing information in a loosely-coupled, decentralized way and then dynamically coordinate the relevant services to rapidly respond to changes in the physical world. Another challenge is how to systematically and effectively access (plug) the heterogeneous devices without intrusive changing. This paper proposes a service provisioning platform which enables to access heterogeneous devices and expose device capabilities as light-weighted service, and presents an event-based message interaction mode to facilitate the asynchronous, on-demand sharing of sensing information in distributed, loosely-coupled IoT environment. It provides the basic infrastructure for IoT application pattern: inner-domain high-degree autonomy and inter-domain dynamic coordination. The practicability of platform is validated by experimental evaluations and a District Heating Control and Information System (DHCIS).

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Shi, Suxia, Hongying Fei, and Xueguo Xu. "Application of a FMEA method combining interval 2-tuple linguistic variables and grey relational analysis in preoperative medical service process." IFAC-PapersOnLine 52, no. 13 (2019): 1242–47. http://dx.doi.org/10.1016/j.ifacol.2019.11.368.

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Zhang, Xuefeng, and Jiafu Su. "An approach to task recommendation in crowdsourcing based on 2-tuple fuzzy linguistic method." Kybernetes 47, no. 8 (September 3, 2018): 1623–41. http://dx.doi.org/10.1108/k-12-2017-0468.

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Purpose Task recommendation is an important way for workers and requesters to get better outcomes in shorter time in crowdsourcing. This paper aims to propose an approach based on 2-tuple fuzzy linguistic method to recommend tasks to the workers who would be capable of completing and accept them. Design/methodology/approach In this paper, worker’s capability-to-complete (CTC) and possibility-to-accept (PTA) for a task needs to be recommended are proposed, measured and aggregated to determine worker’s priority for task recommendation. Therein, the similarity between the recommended task and its similar tasks and worker’s performance on these similar tasks are computed and aggregated to determine worker’s CTC quantitatively. In addition, two factors of worker’s active degree and worker’s preferences to a task category are presented to reflect and determine worker’s PTA. In the process of measuring them, 2-tuple fuzzy linguistic method is used to represent, process and aggregate vague and imprecise information. Findings To demonstrate the implementation process and performance of the proposed approach, an illustrative example is conducted on Taskcn, a widely used Chinese online crowdsourcing market. The experimental results show that the proposed approach outperformed the self-selection approach, especially for complex or creative tasks. Moreover, comparing with task recommendation considering worker’s CTC solely, the proposed approach would be better in terms of workers’ response rate. Additionally, the use of linguistic terms and fuzzy linguistic method facilitates the expression of vague and subjective information and makes recommendation process more practical. Research limitations/implications In the study, the authors capture alternative workers, collect workers’ behaviors and compute workers’ CTC and PTA manually. However, as the number of tasks and alternative workers grow, the issue, i.e. how to conveniently collect workers’ behaviors and determine their CTC and PTA, becomes conspicuous and needs to be studied further. Practical implications The proposed approach provides an alternative way to perform tasks posted in crowdsourcing platforms. It can assist workers to contribute to right tasks, and requesters to get outcomes with high quality more efficiently. Originality/value This study proposes an approach to task recommendation in crowdsourcing that integrates workers’ CTC and PTA for the recommended tasks and can deal with vague and imprecise information.

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Wang, Jie, Mao Lu, and Guiwu Wei. "Models for multiple attribute decision making with some interval-valued 2-tuple linguistic Pythagorean fuzzy Bonferroni mean operators." International Journal of Knowledge-based and Intelligent Engineering Systems 23, no. 4 (February 10, 2020): 259–94. http://dx.doi.org/10.3233/kes-190417.

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Lin, Jian, Qiang Zhang, and Fanyong Meng. "A Novel Algorithm for Group Decision Making Based on Continuous Optimal Aggregation Operator and Shapley Value." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, no. 06 (December 2019): 969–1002. http://dx.doi.org/10.1142/s0218488519500430.

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Interval linguistic preference relation is an effective tool for expressing experts’ preference in group decision making under uncertain linguistic environment. A new aggregation operator called continuous chi-square deviation based 2-tuple linguistic ordered weighted quasi-averaging (C-CDLOWQ) operator is proposed to transform the interval linguistic preference relations into precise linguistic preference relations. Some desirable properties and special cases of the C-CDLOWQ operator are analyzed in detail. To take the interactive phenomenon among experts into account, the Shapley weighting vector is presented to integrate the expected linguistic preference relations. The λ-fuzzy measure is employed to simplify the fuzzy measure on expert set. A CS-GDM algorithm is developed to group decision making with interval linguistic preference relations. The application in commercial investment problem is provided to illustrate the effectiveness of CS-GDM algorithm.

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Wen, Ta-Chun, Kuei-Hu Chang, and Hsin-Hung Lai. "Integrating the 2-tuple linguistic representation and soft set to solve supplier selection problems with incomplete information." Engineering Applications of Artificial Intelligence 87 (January 2020): 103248. http://dx.doi.org/10.1016/j.engappai.2019.103248.

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Zhang, Wancheng, Yejun Xu, and Huimin Wang. "A consensus reaching model for 2-tuple linguistic multiple attribute group decision making with incomplete weight information." International Journal of Systems Science 47, no. 2 (August 10, 2015): 389–405. http://dx.doi.org/10.1080/00207721.2015.1074761.

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Kosaka, Manabu, Hiroshi Uda, and Hiroshi Shibata. "An Identification Method With Direct Acquisition of Reduced Order Model From a Steplike Response." Journal of Dynamic Systems, Measurement, and Control 126, no. 4 (December 1, 2004): 746–52. http://dx.doi.org/10.1115/1.1852462.

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In this paper, we propose a deterministic off-line identification method performed by using input and output data with a constant steady-state output response. The method can directly acquire any order of reduced model without knowing the real order of a plant, in such a way that the intermediate parameters are uniquely determined so as to be orthogonal with respect to 0-N-tuple integral values of output error and irrelevant to the unmodeled dynamics. From the intermediate parameters, the co-efficients of a rational transfer function are calculated. In consequence, the method can be executed for any linear single-input single-output plant without knowing or estimating its order at the beginning. The effectiveness of the method is illustrated by numerical simulations and also by applying it to a two-mass system.

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De Nicola, Rocco, and Michele Loreti. "Modelling global computations with Klaim." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1881 (July 31, 2008): 3737–45. http://dx.doi.org/10.1098/rsta.2008.0148.

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A new area of research, known as Global Computing, is by now well established. It aims at defining new models of computation based on code and data mobility over wide-area networks with highly dynamic topologies, and at providing infrastructures to support coordination and control of components originating from different, possibly untrusted, fault-prone, malicious or selfish sources. In this paper, we present our contribution to the field of Global Computing that is centred on Kernel Language for Agents Interaction and Mobility ( Klaim ). Klaim is an experimental language specifically designed to programme distributed systems consisting of several mobile components that interact through multiple distributed tuple spaces. We present some of the key notions of the language and discuss how its formal semantics can be exploited to reason about qualitative and quantitative aspects of the specified systems.

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Jackson, T. R., W. Cho, N. M. Patrikalakis, and E. M. Sachs. "Memory Analysis of Solid Model Representations for Heterogeneous Objects." Journal of Computing and Information Science in Engineering 2, no. 1 (March 1, 2002): 1–10. http://dx.doi.org/10.1115/1.1476380.

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Methods to represent and exchange parts consisting of Functionally Graded Material (FGM) for Solid Freeform Fabrication (SFF) with Local Composition Control (LCC) are evaluated based on their memory requirements. Data structures for representing FGM objects as heterogeneous models are described and analyzed, including a voxel-based structure, finite-element mesh-based approach, and the extension of the Radial-Edge and Cell-Tuple-Graph data structures with Material Domains representing spatially varying composition properties. The storage cost for each data structure is derived in terms of the number of instances of each of its fundamental classes required to represent an FGM object. In order to determine the optimal data structure, the storage cost associated with each data structure is calculated for several hypothetical models. Limitations of these representation schemes are discussed and directions for future research also recommended.

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Dymond, Antoine S., Schalk Kok, and P. Stephan Heyns. "MOTA: A Many-Objective Tuning Algorithm Specialized for Tuning under Multiple Objective Function Evaluation Budgets." Evolutionary Computation 25, no. 1 (March 2017): 113–41. http://dx.doi.org/10.1162/evco_a_00163.

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Control parameter studies assist practitioners to select optimization algorithm parameter values that are appropriate for the problem at hand. Parameter values are well suited to a problem if they result in a search that is effective given that problem’s objective function(s), constraints, and termination criteria. Given these considerations a many-objective tuning algorithm named MOTA is presented. MOTA is specialized for tuning a stochastic optimization algorithm according to multiple performance measures, each over a range of objective function evaluation budgets. MOTA’s specialization consists of four aspects: (1) a tuning problem formulation that consists of both a speed objective and a speed decision variable; (2) a control parameter tuple assessment procedure that utilizes information from a single assessment run’s history to gauge that tuple’s performance at multiple evaluation budgets; (3) a preemptively terminating resampling strategy for handling the noise present when tuning stochastic algorithms; and (4) the use of bi-objective decomposition to assist in many-objective optimization. MOTA combines these aspects together with differential evolution operators to search for effective control parameter values. Numerical experiments consisting of tuning NSGA-II and MOEA/D demonstrate that MOTA is effective at many-objective tuning.

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