TITLE

Fuzzy Logic and Fuzzy Clustering for Medical Service Value Model

AUTHOR(S)
Kumam, Wiyada; Pongpullponsak, Adisak
PUB. DATE
March 2013
SOURCE
Proceedings of the International MultiConference of Engineers & ;2013, p1
SOURCE TYPE
Conference Proceeding
DOC. TYPE
Article
ABSTRACT
This research is to expand an estimation model for medical service value of informal workers for the social security system. In this study, the data of workers in year 2010 provided by the Social Security Office in Thailand was analyzed and used to create for non-surgical medical service value model. The data obtained from the fuzzy clustering analysis is used to establish a membership function in fuzzy logic. Subsequently, the result from this model, which is compensation for medical expenses will be used to estimate the monetary value of medical services for the informal workers when receive the treatment without surgery.
ACCESSION #
96697282

 

Related Articles

  • An Efficient Algorithm for Segmentation Using Fuzzy Local Information C-Means Clustering. Mekapothula, Sandeep Kumar; Kumar, V. Jai // International Journal of Computer Science & Network Security;Oct2012, Vol. 12 Issue 10, p139 

    This paper presents a variation of fuzzy c-means (FCM) algorithm that provides image clustering. The proposed algorithm incorporates the local spatial information and gray level information in a novel fuzzy way. The new algorithm is called fuzzy local information C-Means (FLICM). FLICM can...

  • The Artificial Shoal Fuzzy Cluster Analysis on the Arctic Route Geopolitical Structure. Zhenfu Li; Hong Li // Journal of Systems Science & Information;Dec2011, Vol. 9 Issue 4, p333 

    As a result of the global warming, the Arctic ice layer is melting gradually, thus the expectation of navigation on the Arctic area seems possible, and the scrambling for the resource and the struggle about the geopolitics which targets on the arctic will become a new important issue for the...

  • Fuzzy Logic and Fuzzy Clustering for Medical Service Value Model. Kumam, Wiyada; Pongpullponsak, Adisak // International MultiConference of Engineers & Computer Scientists;2013, Vol. 2, p1 

    This research is to expand an estimation model for medical service value of informal workers for the social security system. In this study, the data of workers in year 2010 provided by the Social Security Office in Thailand was analyzed and used to create for non-surgical medical service value...

  • Proposed a new Fuzzy C-Means Algorithm based on Electrical Rules. Golabzaei, Amir; Yaghoubizadeh, Mohsen; Mirkhanzadeh, Behruz // International Proceedings of Computer Science & Information Tech;2012, Vol. 49, p32 

    Every day, people deal with different types of data and different types of measurements and observations. Data describe the characteristics of data and summarize the result of experiment. Clustering or classification of data is an important activity to partitioning the data point in to...

  • Analysis of Individual Faith through Holy Bible Using Fuzzy Clustering. Devadoss, A. Victor; Rajkumar, A.; Jayalatha, C. // International Journal of Computer Theory & Engineering;Aug2013, Vol. 5 Issue 4, p731 

    As the world scenario has been witnessing different types of natural catastrophes, loss of human life, destruction of sustenance, people have grown cold and have lost hope. In an attempt to revive this lost faith, this paper studies the survey done on Individual Faith as identified from various...

  • Fuzzy layered physical cell identities assignment in heterogeneous and small cell networks. Lei Ning; Zhenyong Wang; Qing Guo; Haijun Zhang // Electronics Letters;5/12/2016, Vol. 52 Issue 10, p879 

    Massive irregular deployments of small cells require corresponding physical cell identities (PCIs) in heterogeneous cellular networks. The number of PCIs is restricted by the synchronisation sequence result in PCI reuse at an appropriate distance among base stations. Some methods of PCI...

  • Using fuzzy clustering to reveal recurring spatial patterns in corpora of dialect maps*. Meschenmoser, Daniel; Pröll, Simon // International Journal of Corpus Linguistics;2012, Vol. 17 Issue 2, p176 

    In this article, a new method to identify groups of spatially similar dialect maps is presented. This is done by comparing statistical properties of the maps: the empirical covariance is measured for every map in a corpus of dialect maps. Then, the Fuzzy C-Means clustering method is applied to...

  • ROZMYTA KLASYFIKACJA SPEKTRALNA C-ÅšREDNICH DLA DANYCH SYMBOLICZNYCH INTERWAŁOWYCH. Pełka, Marcin // Research Papers of the Wroclaw University of Economics / Prace N;2013, Issue 278, p282 

    The main aim of the paper is to present a proposal of new fuzzy clustering method for symbolic interval-valued data. The paper presents basic terms of symbolic data, spectral clustering and fuzzy c-means clustering. In the empirical part results of simulation study with application of artificial...

  • KLASYFIKACJA OBIEKTÓW REPREZENTOWANYCH PRZEZ RÓŻNEGO RODZAJU CECHY SYMBOLICZNE. Machowska-Szewczyk, Małgorzata // Research Papers of the Wroclaw University of Economics / Prace N;2013, Issue 278, p290 

    The majority of discussed classification methods allow clustering of symbolic objects described by variables of the same type. In real applications many objects can be characterized by symbolic mixed feature types: both numeric-valued, interval-valued, set of categories-valued and ordered...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics