Fuzzy Time
Comparison Of Fuzzy Time Series And ARIMA Model
... compute fuzzy relation and compare the difference between the traditional time series and fuzzy time ...using fuzzy time series and ARIMA ...order time variant method for ...
5
Time Series Forecasting Using Fuzzy Time Series With Hedge Algebras Approach
... From the empirical results in the list, applying the second type gives the better forecasting accuracy rate than others. Thus, recent researches focus on the second method. There have been many methods of partitioning ...
9
A Hybrid Forecasting Model Based On Automatic Clustering Algorithm And Fuzzy Time Series
... for fuzzy forecasting by integrating Chen’s fuzzy forecasting method ...same time, ...order fuzzy time series to deal with the enrolments forecasting ...order fuzzy logical ...
7
A Forecasting Model Based On Combining Automatic Clustering Technique And Fuzzy Time Series
... the time-invariant fuzzy time and the time-variant time series model which use the max–min operations to forecast the enrolments of the University of ...first-order fuzzy ...
6
A New Hybrid Fuzzy Time Series Forecasting Model Combined the Time -Variant Fuzzy Logical Relationship Groups with Particle Swam Optimization
... the fuzzy logical relationship groups and forecasted rule are created, while Wei Lu’s model [21] use the interval information granules to partition the universe of discourse in fuzzification stage that aim to ...
15
A Modified Approach on Fuzzy Time Series Forecasting
... the time series comprised of imprecise ...of time series the uncertainty of the individual observed values as well as the interpretation of a sequence of uncertain observed values are of ...a fuzzy ...
11
Improved models in fuzzy time series for forecasting
... in fuzzy time series: A new N-factor fuzzy time series for prediction of the auto industry ...and Fuzzy logic Methods for Short Term Load ...
32
Periodic Outlier Detector For Fuzzy Time Series
... in fuzzy time-series identifies the periodical functions to get seasonal behaviour using Fourier ...in time- series data, it is very clear that decline in the economy is an outlier, unusual, or ...
6
Fuzzy inventory model for deteriorating items, with time depended demand, shortages, and fully backlogging
... with time depended demand where shortage are allowed and fully ...developed fuzzy inventory model with fuzzy time depended demand rate under fully ...
9
An Approach to Validation of Fuzzy Qualitative Temporal Relations
... paper fuzzy temporal relations between two fuzzy time points, fuzzy time point and fuzzy time interval and two fuzzy time intervals are ...between ...
8
Article Forecasting Based on High-Order Fuzzy-Fluctuation Trends and Particle Swarm Optimization Machine Learning Jingyuan Jia 1, Aiwu Zhao 1, * and Shuang Guan 2
... existing fuzzy forecasting models partition historical training time series into fuzzy time series and build fuzzy-trend logical relationship groups to generate forecasting ...novel ...
13
A Forecasting Model Based On K-means Clustering And Time-invariant Fuzzy Relationship Groups
... existing fuzzy forecasting methods based on the static length of intervals are not good ...with fuzzy time series to find proper length of each ...Type-2 fuzzy model of stock time ...
7
Fuzzy Multi Objective Assignment Linear Programming Problem based on L R fuzzy Numbers
... the fuzzy cost coefficients, the fuzzy time and fuzzy quality are L-R fuzzy ...of fuzzy cost, fuzzy time, and fuzzy quality, it is not possible to merge each ...
12
Fuzzy Reliability Analysis of Heating Fans Using Mediative Fuzzy Logic
... using fuzzy fingerprints was ...intuitionistic fuzzy logic controller for heater fans using intuitionistic fuzzy systems was ...intuitionistic fuzzy logic controller to determine washing ...
6
Completion Time in a Metagraph with Fuzzy Duration for Edges
... maximum fuzzy number among several fuzzy numbers in performing the forward calculations, we have used the 𝐶ℎ𝑒𝑛 − 𝐿𝑢 ranking ...in fuzzy number ranking and do the ranking with a higher ...
6
Fuzzy space-time topology and geometric quantization
... Abstract. Dodson-Zeeman fuzzy topology considered as the possible mathematical framework of geometric quantum formalism. In such approach the states of massive par- ticle m correspond to elements of fuzzy ...
8
New Approach for Fuzzy Control and Analysis of Queueing System with Flexible Service Time
... – Fuzzy control of queues is a new method for controlling cost of the system, number of customers waiting in the queue and many other aspects of ...proposes fuzzy control approach for reducing cost of the ...
5
AN APPLICATION OF FUZZY QUANTIFIER IN SEQUENCING PROBLEM WITH FUZZY RANKING METHOD
... the fuzzy quantifier and ranking method, also the optimal solution(order) by using the method of processing n jobs through two machines has been carried ...
8
Time dependence of entanglement entropy on the fuzzy sphere
... As we move to away from the small mass regime, we find that the entanglement entropy appears to saturate faster. In fact, as we take the mass to be much larger than N , we find that the entanglement entropy seems to be ...
15
Fuzzy Space-Time Fractional Telegraph Equations
... Abstract - In this paper, the Laplace Variational Iteration Method (LVIM)and the Caputo fuzzy fractional derivatives applied to find the exact fuzzy solution of the fuzzy space-time fractional ...
8