Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting.
Journal Title: EAI Endorsed Transactions on Context-aware Systems and Applications - Year 2017, Vol 4, Issue 14
Abstract
During the recent years, many different methods of using fuzzy time series for forecasting have been published. However, computation in the linguistic environment one term has two parallel semantics, one represented by fuzzy sets (computation-semantics) it human-imposed and the rest (context-semantic) is due to the context of the problem. If the latter semantics is not paid attention, despite the computation accomplished high level of exactly but it has been distorted about semantics. That means the result does not suitable the context of the problem. After all, the results are not accurate A new approach is proposed through a semantic-based algorithm, focus on two key steps: partitioning the universe of discourse of time series into a collection of intervals and mining fuzzy relationships from fuzzy time series, that outperforms accuracy and friendliness in computing. The experimental results, forecasting enrollments at the University of Alabama and forecasting TAIEX Index, demonstrate that the proposed method significantly outperforms the published ones about accurate level, the ease and friendliness on computing.
Authors and Affiliations
Loc Vuminh, Dung Vuhoang
Keywords
Related Articles
- EP ID EP45804
- DOI http://dx.doi.org/10.4108/eai.18-6-2018.154820
- Views 294
- Downloads 0
Book Titled Autonomic Networking-on-Chip: Bio-Inspired Specification, Development, and Verification: An Introduction
Despite the growing mainstream importance and unique advantages of autonomic networking-onchip (ANoC) technology, Autonomic Networking-On-Chip: Bio-Inspired Specification, Development, and Verification is among the first...
A 802.22b protocol for inter/intra WRAN communication
In this paper we focus on cognitive 802.22b Wireless Regional Area Networks (WRANs). In particular a protocol, named inter intra-resource sharing algorithm (2I-RSA), is presented to address the problem of self coexistenc...
Querying Object-Oriented Databases Based on Signature Graph and n-ary Tree
In this paper, we suggest a new technique to create index helping for querying almost identical similarities with keywords in case there is no correct match found. It’s based on a signature graph and n-ary tree helping t...
Representing and Reasoning with the Internet of Things: a Modular Rule-Based Model for Ensembles of Context-Aware Smart Things
Context-aware smart things are capable of computational behaviour based on sensing the physical world, inferring context from the sensed data, and acting on the sensed context. A collection of such things can form what w...
Classification of objective interestingness measures
The creation of the interestingness measures for evaluating the quality of the association rule - based knowledge plays an important role in the post-processing of the Knowledge Discovery from Databases. More and more in...