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A New Approach for Solving Fuzzy Supplier Selection Problems Under Volume Discount [chapter]

S. H. Nasseri, S. Chitgar
2017 Advances in Intelligent Systems and Computing  
In fact, on the one hand, deterministic models cannot easily take this vagueness into account. In these cases, the theory of fuzzy sets is one of the best tools to handle uncertainty.  ...  On the other hand, Kumar et al. proposed a new approach to find the fuzzy optimal solution of fully fuzzy linear programming problem.  ...  Example Consider the following fully fuzzy linear system of equations: ̃1,̃2 are non-negative triangular fuzzy numbers.  ... 
doi:10.1007/978-3-319-66514-6_2 fatcat:7znywbodn5awxheihvbitup6m4

Editorial Message: Special Issue on Advances in Intelligent Fuzzy Systems

Jin-Tsong Jeng, Chen-Chia Chuang, Wei-Yen Wang, Kao-Shing Hwang
2019 International Journal of Fuzzy Systems  
as the reviewers of all the oral presentations in iFUZZY 2017.  ...  Guest Editor, iFUZZY 2017 IJFS Special Issue on Advances in Intelligent Fuzzy Systems.  ...  As for the presented contents of these nine papers in the special issue, we make brief introductions to their contributions on Advances in Intelligent Fuzzy Systems that have one paper in this volume;  ... 
doi:10.1007/s40815-019-00614-0 fatcat:sxf5ckjcfrfzhif3x5ljdk5egu

Advanced Fuzzy Logic Control system for Thermal Power Plant

Rajesh Singh Shekhawat
2017 International Journal for Research in Applied Science and Engineering Technology  
Its incorporation in embedded systems could lead to enhanced performance, increased simplicity and productivity, reduced cost and time to-market, along with other benefits in power system.  ...  These rules can be placed in form of table (as in table 1) . Here error and differential error are two inputs of fuzzy logic controller as given in figure 1.  ...  of area-1 of a two area Thermal System with type-2 FLC ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor:6.887 Volume 5 Issue VIII, August 2017-Available at www.ijraset.com 193 ©IJRASET (UGC Approved  ... 
doi:10.22214/ijraset.2017.8273 fatcat:gkjixu7qive5na7lxe25tqd5we

The Encyclopedia of Neutrosophic Researchers, 2nd Volume

Florentin Smarandache
2018 Figshare  
This is the second volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor's invitation.  ...  In the past years, the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate  ...  Journal of Advanced Research in Dynamical and Control Systems, Vol. 9, Issue 4, pp. 371-378. Encyclopedia of Neutrosophic Researchers, 2 nd Volume Dr.  ... 
doi:10.6084/m9.figshare.7076483.v1 fatcat:lywimpsh35hevfonzos5pxzvse

DEVELOPING INCIDENT DETECTION ALGORITHM BASED ON THE MAMDANI FUZZY INFERENCE ALGORITHM

Andrey Borisovich Nikolaev, Yuliya Sergeevna Sapego
2017 International Journal of Advanced Studies  
Application of fuzzy logic in the incident detection system allows making a decision under uncertainty. The phase of incident detection is a process of finding difficulties in traffic.  ...  After processing the input data, using the previously entered fuzzy rules, will be taken action that will improve the situation in traffic or at least not allow it worse.  ...  Studies, Vol. 7,No 1, 2017  ... 
doi:10.12731/2227-930x-2017-1-18-27 fatcat:ypj6knn7ivh7zd245jgwht23eq

Traffic Signal Timings Optimization Using Fuzzy Logic Controller

Vipul Vilas Sawake, Prashant Borkar
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Such kind of parameters fuzzy logic technique is suitable advance for traffic control problem. A fuzzy logic traffic control simulation model is developed and tested using MATLAB software.  ...  Fuzzy logic is very useful method for transportation in future use.  ...  Average Delay(in Sec) 96 58 © 2017, IJARCSSE All Rights Reserved Sawake et al., International Journal of Advanced Research in Computer Science and Software Engineering 7(4), April-2017,  ... 
doi:10.23956/ijarcsse/v7i4/0113 fatcat:myg5s7o6yrh4labemrdxxtktde

Stratum Displacement Law and Intelligent Optimization Control Based on Intelligent Fuzzy Control Theory During Shield Tunneling

2021 Civil and Environmental Research  
control system.  ...  This article's focus is made on the intelligent fuzzy control theory concentrating on earth pressure, total thrust, driving speed, cutter torque, grouting pressure and grouting volume as the main elements  ...  Establishment of the intelligent fuzzy control system To establish the intelligent of this system, data is compiled using the MATLAB 7.0, and the fuzzy inference systems of Mamdani which include the fuzzy  ... 
doi:10.7176/cer/13-6-01 fatcat:5icf7spagncgvefu32s4vae4pe

Adaptive MIMO Controller Design for Chaos Synchronization in Coupled Josephson Junctions via Fuzzy Neural Networks

Thien Bao Tat Nguyen
2017 Journal of Advanced Engineering and Computation  
the controlled system and reduce the undesired effects of the estimate errors.  ...  The fuzzy neural controller employs a fuzzy neural network to simulate the behavior of the ideal feedback linearization controller, while the sliding mode controller is used to ensure the robustness of  ...  In this c 2017 Journal of Advanced Engineering and Computation (JAEC) c 2017 Journal of Advanced Engineering and Computation (JAEC) VOLUME: 1 | ISSUE: 1 | 2017 | June  ... 
doi:10.25073/jaec.201711.52 fatcat:njlfarmktbd5hd3inkrtiz6zmm

Automatic generation control of thermal generating unit using evolutionary controller

Ashish Dhamanda, A.K. Bhardwaj Allahabad, Arunesh Dutt Dehradun
2017 International Journal of Advanced Intelligence Paradigms  
In this paper intelligent controller (fuzzy) are proposed for improving performance and their dynamic responses are compared with the conventional controller and without controller.  ...  This paper deals with the dynamic performance of automatic generation control of single reheat type turbine in isolated thermal area by Intelligent Controller (Fuzzy), conventional (P, I, PI & PID) controller  ...  ACKNOWLEDGEMENT International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 -6480(Print), ISSN 0976 -6499(Online), Volume 5, Issue 11, November (2014), pp. 68-78  ... 
doi:10.1504/ijaip.2017.10009224 fatcat:s54pmdkjdffrncom4zl5fkc6wi

ROBUST FUZZY NEURO SYSTEM FOR BIG DATA ANALYTICS

Aman Taneja
2017 International Journal of Advanced Research in Computer Science  
It also presents uncertainty issues related to Big Data for which the solution we provided by combining fuzzy and neural network concepts to assemble a new intelligent system ANFIS that has brought together  ...  Through this paper, we can become proficient in big data analytics, its tools and application areas.  ...  Its motive is to borrow learning capability from neural network and put it into fuzzy system, that is, superimposition of fuzzy over neural network so the fuzzy inference system behaves similar to neural  ... 
doi:10.26483/ijarcs.v8i7.4164 fatcat:wfmn5s2vwjcfvfgw2sqn4wujkq

Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data

Kit Yan Chan, Mehmet Emin Aydin, Huseyin Seker, Vasile Palade, Tzung-Pei Hong
2018 International Journal of Fuzzy Systems  
Shun-Feng Su, the Editor-in-chief in the International Journal of Fuzzy Systems, for providing us the opportunity to edit this special issue and for his guidance throughout the edition process.  ...  We would first like to thank the authors for submitting their valuable research outcomes to this special issue, and the reviewers for their efforts in evaluating these papers.  ...  After publicly distributing the Call For Papers for this special issue from November 2015 to July 2017, and promoting it through two special sessions, namely ''Bringing Big Data to its Knees: Advances  ... 
doi:10.1007/s40815-018-0477-4 fatcat:6davbskm5nadvntb2berwbdmgi

FUZZY LOGIC APPLICATIONS IN HORTICULTURE AND A SAMPLE DESIGN FOR JUICE VOLUME PREDICTION IN POMEGRANATE (PUNICA GRANATUM L.)

M PAKYÜREK, Y AYDIN, N MIKAIL
2019 Applied Ecology and Environmental Research  
In this study, a sample expert system to estimate juice volume in pomegranate was designed, using the fuzzy logic method, which closest to the logic of the human mindset.  ...  The Fuzzy Logic Interface of MATLAB Program was used in the designing phase of the system.  ...  ; hence, the application of fuzzy set theory is most promising and advanced.  ... 
doi:10.15666/aeer/1702_24492460 fatcat:ygiapdup6bf67jmj435tpzx2rq

THE FUZZY LOGIC CONTROLLER MODEL FOR INTEGRATION OF PV SYSTEM INTO THE UTILITY GRID

Dr. Ibrahim Imbayah Khalefah Imbayah
2020 International Journal of Technical Research & Science  
The system stability tests for different weather conditions in the PV system. This paper advocate that the proposed fuzzy logic controller gives a good performance over regular control methods.  ...  This paper presents the fuzzy logic-based controller model for the integration of the photovoltaic system into the utility grid.  ...  Development in the efficiency of photovoltaic cells and low price make Volume V Issue XII, December 2020 @2017, IJTRS All Right Reserved them widely accepted and concentration in the entire world and not  ... 
doi:10.30780/ijtrs.v05.i12.002 fatcat:3i4waffpg5adbb6q2eytur27z4

Proposal of a Fuzzy Control System for Heat Transfer Using PLC [chapter]

Martin Nesticky, Tomas Skulavik, Jaroslav Znamenak
2017 Advances in Intelligent Systems and Computing  
The article presents a fuzzy controller design for using PLC as a control system. The subject of controlling is a mathematical model of a heat exchanger modeled in Simulink.  ...  Model of the closed loop control system in virtual environment is used to perform multiple simulations to detect the system behavior under various conditions.  ...  In the considered system, q 1 denotes the amount of the fluid A in-flowing to the first tank with volume of V 1 . The fluid B in-flows to the second tank with the amount of q 2 .  ... 
doi:10.1007/978-3-319-57261-1_2 fatcat:5hoipxnhwfcuxfemzzpikwedym

An Efficient Framework for Mining Association Rules in the Distributed Databases

Lalit Mohan Goyal, M M Sufyan Beg, Tanvir Ahmad
2017 Computer journal  
Sufyan Beg and Tanvir Ahmad, "Attribute Reduction for Fuzzy Set-valued Information Systems" to be published in in 21st World Multiconference on Systemics, Cybernetics and Informatics (WMSCI 2017), Orlando  ...  Pankaj Kumar Sharma, Hammad Haleem, Tanvir Ahmad, "Improving Classification by Outlier Detection and Removal", in Advances in Intelligent Systems and Computing, Volume 338, 2015, Pages 621-628, Springer  ... 
doi:10.1093/comjnl/bxx067 fatcat:r2i6aqfrlbdktbidzhtnjt2uju
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