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, rule representation in, 131- 139 Prolog, for differential diagnosis expert system, 131-139 Propagation of evidence, Dempster's rule and, 349--400 Propositional operators, 334-340 Qualitative independence ... of, 257-258 Fuzzy propositions, 3-5 Fuzzy relations, extended, application to fuzzy expert systems, 177-195 Fuzzy sets approach to aggregating military assess- ments, 251-271 for evaluation of acceptability ...doi:10.1016/0888-613x(87)90026-0 fatcat:miedrjsesnc6nkyf4dijc4wnne
Fuzzy sets continuous, 1-31 strong convex, 1-31 Fuzzy weighted averages, 45-66 Identification, nonlinear dynamical systems and, 109-131 If-then rules, 345-365 Implications, residuated, 525-533 ... , 505-524 set, 481-504 Lower probability, 295-319, 345-365, 367- 375, 377-388 Membership functions, 241-266 Modus ponens, 481-504 ...doi:10.1016/0888-613x(92)90005-k fatcat:wvwhdwd5lveateyipkqadi6ms4
S. (6-NEH; Shillong) Fuzzy homomorphism and / -fuzzy subgroups generated by a fuzzy subset. (English summary) Fuzzy Sets and Systems 74 (1995), no. 2, 259-268. ... Let X and Y be sets and let P( Y) denote the set of all fuzzy sub- sets of Y. ...
(English summary) Fuzzy Sets and Systems 58 (1993), no. 2, 243-245. ... and B-valued integral on L-fuzzy sets. ...
In this paper, the prognostic approaches are described briefly and advanced predictive analytics, namely a parsimonious network based on a fuzzy inference system (PANFIS), is proposed and tested for low ... The PANFIS method is applied to normal-to-failure bearing vibration data collected for 139 days to predict the time-domain features of vibration slew bearing signals. ... Acknowledgments: The data used in this paper were collected from Tribology Laboratory, School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Australia. ...doi:10.3390/app8122656 fatcat:w46iuqu7zncvdofbn7xh7fntpq
Then, we extract three important geometry features including rooms type, number of leaf nodes, and fuzzy volume. ... First, we make analysis on the original data of neurons in which one neuron contains six parameters: room type,X,Y,Zcoordinate range, total number of leaf nodes, and fuzzy volume of neurons. ... Acknowledgments This research has been supported by the National Natural Science Foundation under Grant nos. 61272198, 60675027, and 61001200. ...doi:10.1155/2014/348526 pmid:25152908 pmcid:PMC4131436 fatcat:hch4w6jcujf3xm5xqahajlx3la
2] G I Adamopoulos and C P Pappis. A fuzzy-linguistic approach to a multicriteria sequencing problem.  G I Adamopoulos and C P Pappis. ... Integrated days off and shift personnel scheduling. Computing and Industrial Engineering, 9(4):395-404, 1985.  J Bailey and J Field. ...  D Dubois, H Prade, F Esteva, P Garcia, L Godo, and R Lopez de Man- taras. Fuzzy set modelling in case-based reasoning. International Journal of Intelligent Systems, 13:345-373, 1998. ...doi:10.1016/s0377-2217(97)00055-6 fatcat:6hdchhhefjbebnen6n5kad3yfy
PID control system and fuzzy adaptive PID control system research and comparison [J]. ... error middle big small MATEC Web of Conferences 139, 00172 (2017) ... The setting speed is as follows. ...doi:10.1051/matecconf/201713900172 fatcat:yacwyiaklfayxp5t7u6w4drfbq
International Journal of Physical Sciences
Due to the nature of uncertainty in the problem, the fuzzy set theory and technique are used to convert the deterministic multi-objective programming model into a fuzzy nonlinear programming problem. ... A heuristic method is developed to get a set of satisfactory solutions for the fuzzy nonlinear programming problem. ... Reliability fuzzy set and its degree of satisfaction; 2. Cost fuzzy set and its degree of satisfaction; 3. Weight fuzzy set and its degree of satisfaction; 4. ...doi:10.5897/ijpsx12.009 fatcat:znbtwklknndmvjg2vgudibouyy
ISBN 3-7908-1328-1 From the foreword: “The collection of papers presented in this volume concerns new progress in rough set methodology and its applications. ... planning on the basis of generalized fuzzy criti- cal path method (133-139); Peter Marcinéak and Marcel Matula, Flexible querying—data structures unification (140-145); Dana Smutna and Peter Vojtas, New ...
It outlines the main features of the fuzzy model for identifying significant subtle (implicit) effects within a system of objects' responses based on a cross between fuzzy set and data mining approaches ... The main strengths and weaknesses of utilizing fuzzy systems are explored afterwards. ... fuzzy systems. ...dblp:conf/ysip/NazarovAI17 fatcat:pfsfjug7izhglhegwfspzqdfhu
between the system with and without nutrient control has a difference of 1.96 cm.Keywords: control system, fuzzy logic, IoT, hydroponics, nutrient ... The control system that is used is mamdani fuzzy logic with the nutrient measurement level offset and water level input, as well as nutrient and water pump motors activation duration output to reach the ... Berikut merupakan rancangan fuzzy logic menggunakan aplikasi "Control System Design and Analysis" di MatLab pada Gambar 6. ...doi:10.26760/elkomika.v9i2.263 fatcat:dpcpqk3nlffhdaz576sp6i7w6q
The Journal of the Operational Research Society
Wang J and Shu Y-F (2005). Fuzzy decision modeling for supply chain management. Fuzzy Sets and Systems 150: 107-127. Wang S (2001). ... The single machine ready time scheduling problem with fuzzy processing times. Fuzzy Sets and Systems 127: 117-129. Wang J (2002). ...
This paper propose to use a context sensitive and proactive fuzzy control system for controlling the automation processes in smart house environment. ... This paper describes a central heating boiler control system implemented using the fuzzy control system designed. ... Resources, (2017) , Volume I, 134-139 137 in a new environment with a temperature of Θ. ...doi:10.17770/etr2017vol1.2631 fatcat:yxszfgnlejhj5d7aozezutmppe
Fuzzy logic has proven to be very effective with matlab/simulink to develop and simulate the entire system, through an appropriate choice of rules and membership functions and applying the Mamdani method ... The quality of food is associated with a set of properties and characteristics that can be considered from its chemical and nutritional physical composition that have the ability to meet the needs of the ... Inference: The inference relates the fuzzy sets of input and output to represent the rules that will define the system. ...doi:10.35940/ijitee.l1082.10812s219 fatcat:fvkcbswbdbg2jas5a4khrvuvsq
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