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Subject index to volume 1, 1987
1987
International Journal of Approximate Reasoning
Preserved Fulltext
, 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
Subject index, volume 6, 1992
1992
International Journal of Approximate Reasoning
Preserved Fulltext
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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
Page 3389 of Mathematical Reviews Vol. , Issue 96f
[page]
1996
Mathematical Reviews
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
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. ...
Page 6319 of Mathematical Reviews Vol. , Issue 94k
[page]
1994
Mathematical Reviews
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(English summary)
Fuzzy Sets and Systems 58 (1993), no. 2, 243-245. ...
and B-valued integral on L-fuzzy sets. ...
Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis
2018
Applied Sciences
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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
A Primal Analysis System of Brain Neurons Data
2014
The Scientific World Journal
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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
Scheduling staff using mixed integer programming
1997
European Journal of Operational Research
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2] G I Adamopoulos and C P Pappis. A fuzzy-linguistic approach to a multicriteria sequencing problem. [3] G I Adamopoulos and C P Pappis. ...
Integrated days off and shift personnel scheduling. Computing and Industrial Engineering, 9(4):395-404, 1985. [9] J Bailey and J Field. ...
[29] 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
Brushless DC motor speed control strategy of simulation research
2017
MATEC Web of Conferences
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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
Fuzzy programming and data envelopment analysis for improving redundancy-reliability allocation problems in series-parallel systems
English
2013
International Journal of Physical Sciences
English
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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
Page 2773 of Mathematical Reviews Vol. , Issue 2002D
[page]
2002
Mathematical Reviews
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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 ...
A Fuzzy Model for Identifying Significant Subtle Effects within a System of Objects' Responses
2017
Young Scientists' International Workshop on Trends in Information Processing
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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
Sistem Kendali Nutrisi Hidroponik berbasis Fuzzy Logic berdasarkan Objek Tanam
2021
Jurnal Elkomika
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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
Page 28 of The Journal of the Operational Research Society Vol. 58, Issue 1
[page]
2007
The Journal of the Operational Research Society
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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). ...
INTELLIGENT AND ADAPTIVE FUZZY CONTROL SYSTEM FOR ENERGY EFFICIENT HOMES
2017
Environment Technology Resources Proceedings of the International Scientific and Practical Conference
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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 Optimization Model for post harvest selection process of Pecan (Carya illinoinensis)
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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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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