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Fuzzy Modeling and Fuzzy Control [Book Review]

Haibo He
2008 IEEE Computational Intelligence Magazine  
Moreover, this chapter gives a modeling process of FHM and a method for identification of the GFHM, which provides the readers with an alternative approach for fuzzy model design.  ...  Furthermore, a fuzzy relation model is constructed by using the RSDA to search the optimal input space of fuzzy model.  ...  A fuzzy controller design scheme is also developed in which the above inference methods concerning two kinds of uncertainties are applied, and then applied to a real system.  ... 
doi:10.1109/mci.2008.926613 fatcat:h4i7kknizrhv5aqw2tyipzyrfe

Models-based Optimization Methods for the Specication of Fuzzy Inference Systems in Discrete EVent Simulation

Paul-Antoine Bisgambiglia, Bastien Poggi, Celine Nicolai
2011 Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011)  
Fuzzy Inference Systems (FIS) have the advantage of relying on the properties of Fuzzy Logic to represent imperfect information so gradually, and manipulate them from a linguistic description.  ...  In this paper, we present the extension of Discrete EVent system Specication (DEVS) formalism to represent FIS, and we propose a modular approach (DEV-FIS) to use several optimization methods.  ...  This method, called iDEVS [11] , associates the DEVS formalism [3] and Fuzzy Set Theory [8] . On this basis, we then introduced a new DEVS extension for describing FIS as DEVS models [12] .  ... 
doi:10.2991/eusflat.2011.6 dblp:conf/eusflat/BisgambigliaPN11 fatcat:txv3f4bw7jgxbabllg6h3xxwxe

Fuzzy systems based on component software

Ramo Šendelj, Vladan Devedžić
2004 Fuzzy sets and systems (Print)  
This paper concentrates on modeling and implementation of fuzzy logic concepts within the hierarchical levels of the OBOA model. The fuzzy components described are extensible and adjustable.  ...  As an illustration of how these components are used in practice, a practical design example from the domain of medical diagnosis is shown.  ...  The work of Chen [3] included development of a new algorithm to evaluate the rate of aggregative risk in software development using fuzzy set theory under the fuzzy group decision making environment.  ... 
doi:10.1016/s0165-0114(02)00592-4 fatcat:i7upkrdjwfet3hrkkd3inlk6yi

A Review of Fuzzy Cognitive Maps Research During the Last Decade

Elpiniki I. Papageorgiou, Jose L. Salmeron
2013 IEEE transactions on fuzzy systems  
This survey makes a review of the most recent applications and trends on fuzzy cognitive maps (FCMs) over the past decade.  ...  Over the past decade, FCMs have gained considerable research interest and are widely used to analyze causal complex systems, which have originated from the combination of fuzzy logic and neural networks  ...  Recently, an integration of a cognitive map and a fuzzy inference engine has been presented as a cognitive fuzzy model, targeting online FLC design and self-fine-tuning [58] .  ... 
doi:10.1109/tfuzz.2012.2201727 fatcat:l2b3xtjhijcmlffunmpqnnhj7a

Fuzz-iDEVS: towards a fuzzy toolbox for discrete event systems

P.-A. Bisgambiglia, E. de Gentili, Pr. P.A. Bisgambiglia, J.F. Santucci
2009 Proceedings of the Second International ICST Conference on Simulation Tools and Techniques  
In this paper, we present a set of tools for the simulation of fuzzy systems. The described methods allow to take into account and to handle a lot of imperfect parameters for the studied systems.  ...  The methods developed are based on fuzzy logic and DEVS formalism. Their goal is to expand fields of application of simulation environments, and to foster interdisciplinary collaborations.  ...  We are also working on the integration into DEVS of a fuzzy inference model to study systems inaccurate parameters.  ... 
doi:10.4108/icst.simutools2009.5691 dblp:conf/simutools/BisgambigliaGBS09 fatcat:t7a4227rmfcwfobxbci5knhqwu

Study on fuzzy-extension control system for marine steering

Wang Minghui, Yu Yongquan, Yang Yimin, Wang Fei
2008 2008 IEEE Conference on Cybernetics and Intelligent Systems  
The combination of extension theory and control theory brought a new type of intelligent control ---extension control. This paper presents fuzzy-extension control method for marine steering.  ...  The paper established the model of fuzzy-extension control system and studied the design of fuzzy-extension controller. Simulation results demonstrate that the control method is valuable.  ...  ACKNOWLEDGMENT The authors are grateful to Science Foundation of Guangdong University of Technology (072028)for decisive support.  ... 
doi:10.1109/iccis.2008.4670934 fatcat:euuuujg7jjfldayw55an54fzca

Methodological design of a performance measurement system for the colombian shipyard supply chain

Juan M Cogollo Flórez, Martín D Arango Serna, Jorge I Gómez Bejarano, Sandra M Puello Ruiz
2012 Ciencia y Tecnología de Buques  
The design of a performance measurement system for the Colombian shipyard supply chain is shown in this paper, using a model that integrates the principles of the Balanced Scorecard with the fuzzy sets  ...  theory to treat uncertainty associated with selected logistics indicators, enabling better supply chain management.  ...  A model integrating the principles of the Balanced Scorecard (BSC) with the fuzzy-set theory to deal with the uncertainty associated with the selected logistics indicators, enabling better supply chain  ... 
doi:10.25043/19098642.60 fatcat:ah5acke5vvh43k77ncoq7bdcqi

Subject index to volume 2

1988 International Journal of Approximate Reasoning  
plasminogen activator, 342 Bayesian belief networks, 337 stochastic stimulation of, 331 Bayesian inference, in model-based machine vision, 327-328 Bayesian prediction, for artificial intelligence, 342  ...  uncertainty and temporal relationships in, 337 Autonomous agents, centrality of, in theories of action under uncertainty, 303-326 Backward chaining, with fuzzy goals and rules, 108 Bayes belief network  ...  Fuzzy process modeling, 109 Fuzzy regression, for electrical resistivity, 96 Fuzzy-rule based control, inference engines for, 102 Fuzzy rule-based expert systems, new concept based on, 108-109 Fuzzy set  ... 
doi:10.1016/0888-613x(88)90114-4 fatcat:rj373wy2pzff3d3otqdhxs2gca

Complex systems architecting using design primitives, comparative analysis and fuzzy analytical feedback

Jason P Dauby, Cihan H Dagli
2010 2010 IEEE International Systems Conference  
The system architecting community must reconcile the inherent ambiguity in a system description with the need for analytical assessments of system attributes so as to increase the likelihood of developmental  ...  It is advantageous to understand and control this complexity as early in the design lifecycle as possible.  ...  More information on fuzzy logic and fuzzy set theory can be found in [9] . A Fuzzy Inference System (FIS) establishes a mapping between input and output variables using fuzzy logic.  ... 
doi:10.1109/systems.2010.5482496 fatcat:ltnd7qqab5ecnev4ethipaoo3u


Peide LIU
2016 Technological and Economic Development of Economy  
Technological and Economic Development of Economy, 22(3), pp. 327-335  ...  In 1975 , Zadeh (1975a , 1975b , 1975c put forward a theory of interval fuzzy set which is an extension of fuzzy theory by generalizing the ordinary fuzzy membership to an uncertain interval.  ...  Further, authors constructs a linear programming model (for consistent information) and an integrated, nonlinear programming model (for inconsistent information) to estimate the criterion weights and the  ... 
doi:10.3846/20294913.2016.1185047 fatcat:2ovpa24cwnbofiieqfbtrkciva

Interval-Valued Fuzzy Control [chapter]

Wenyi Zeng, Jiayin Wang
2010 Lecture Notes in Electrical Engineering  
Finally, we use a simulation experiment of interval-valued fuzzy control to illustrate our proposed algorithm reasonable.  ...  Based on the idea on the interpolation mechanism of fuzzy control, we propose the interval-valued fuzzy control model and investigate the interpolation mechanism of interval-valued fuzzy control.  ...  of China (60675011).  ... 
doi:10.1007/978-3-642-12990-2_20 fatcat:soxjef7z6ncvri3sxn7kldl7za

Trait Based Trustworthiness Assessment in Human-Agent Collaboration using Multi-Layer Fuzzy Inference Approach

Sadaf Hussain, Rizwan Ali Naqvi, Sagheer Abbas, Muhammad Adnan Khan, Tanweer Sohail, Dildar Hussain
2021 IEEE Access  
Proposed Personality Traits oriented Trustworthiness Assessment Model Fuzzy-Based System Model The proposed model is designed to assess the trustworthiness of a human agent based on his inferred personality  ...  These statements describe the core grounds for the construction of a fuzzy rule base. A few of the rules designed for layer-1 of the fuzzy inference system are provided as under.  ... 
doi:10.1109/access.2021.3079838 fatcat:gex6qrhmnbhobmpgenu44w2ika


Peter Grabusts
2020 SOCIETY INTEGRATION EDUCATION Proceedings of the International Scientific Conference  
The solution would be to use the Matlab package to implement different models in Artificial Intelligence areas.  ...  In the research part of the study the modelling capabilities in data mining studies are demonstrated with fuzzy logic algorithms and real examples.  ...  The main reason for the emergence of a new theory was the presence of fuzzy and approximate reasoning when a person described processes, systems, objects (Zadeh, 1965; Zadeh, 1989) .  ... 
doi:10.17770/sie2020vol4.4840 fatcat:j7k3myjzavakzmul6h5f7b4aiq

Proposal for Applicability of Neutrosophic Set Theory in Medical AI

A.Q . Ansari, Ranjit Biswas, Swati Aggarwal
2011 International Journal of Computer Applications  
This paper suggests incorporating a new logic: Neutrosophic logic in medical domain and also discusses the possibility of extending the capabilities of the fuzzy systems by employing neutrosophic systems  ...  Integration of soft computing techniques in the systems lends added advantage to the existing systems to allow solutions to otherwise unsolvable problems.  ...  The proposed neutrosophic logic theory is not a substitute of existing fuzzy medical models, but an extension and enhancement of classical AI approaches.  ... 
doi:10.5120/3299-4505 fatcat:fla6b5iahvbunnib5sycjssyym

An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation

Daren Fang, Xiaodong Liu, Imed Romdhani, Pooyan Jamshidi, Claus Pahl
2016 Future generations computer systems  
This paper proposes an agility-oriented and fuzziness-embedded cloud service ontology model, which adopts agility-centric design along with OWL2 (Web Ontology Language) fuzzy extensions.  ...  To eliminate the above limitations, a novel semantic model is proposed, notably the agility-oriented and fuzziness-embedded cloud service ontology (AoFeCSO).  ...  Acknowledgements We acknowledge the support from a joint grant by the British Royal Society and the Royal Irish Academy on a Cloud Migration Framework 2014-2016, IE131105.  ... 
doi:10.1016/j.future.2015.09.025 fatcat:pfnbqsq4vvfvpnaylrdapl33fe
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