Fuzzy-Klassen Model for Development Disparities Analysis based on Gross Regional Domestic Product Sector of a Region

by   Tb. Ai Munandar, et al.

Analysis of regional development imbalances quadrant has a very important meaning in order to see the extent of achievement of the development of certain areas as well as the difference. Factors that could be used as a tool to measure the inequality of development is to look at the average growth and development contribution of each sector of Gross Regional Domestic Product (GRDP) based on the analyzed region and the reference region. This study discusses the development of a model to determine the regional development imbalances using fuzzy approach system, and the rules of typology Klassen. The model is then called fuzzy-Klassen. Implications Product Mamdani fuzzy system is used in the model as an inference engine to generate output after defuzzyfication process. Application of MATLAB is used as a tool of analysis in this study. The test a result of Kota Cilegon is shows that there are significant differences between traditional Klassen typology analyses with the results of the model developed. Fuzzy model-Klassen shows GRDP sector inequality Cilegon City is dominated by Quadrant I (K4), where status is the sector forward and grows exponentially. While the traditional Klassen typology, half of GRDP sector is dominated by Quadrant IV (K4) with a sector that is lagging relative status.



page 1

page 2

page 3

page 4


Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables

A multi-regional input-output table (MRIOT) containing the transactions ...

MISO hierarchical inference engine with fuzzy implication satisfying I(A(x, y), z) = I(x, I(y, z))

Fuzzy inference engine, as one of the most important components of fuzzy...

A tool for implementation of a domain model based on fuzzy relationships

The domain model is one of the important components used by adaptive lea...

Multiview Hierarchical Agglomerative Clustering for Identification of Development Gap and Regional Potential Sector

The identification of regional development gaps is an effort to see how ...

Computational Socioeconomics

Uncovering the structure of socioeconomic systems and timely estimation ...

Una valutazione di copertura, qualita ed efficienza dei servizi sanitari regionali tra 2010 e 2013

An application of Multiplicative Non-Parametric Corporate Performance Mo...

Robust Clustering with Subpopulation-specific Deviations

The National Birth Defects Prevention Study (NBDPS) was a case-control s...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.