Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
The enhancement of the cell-based GIS analyses with fuzzy processing capabilities
Date
2006-04-22
Author
Yanar, TA
Akyürek, Sevda Zuhal
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
196
views
0
downloads
Cite This
In order to store and process natural phenomena in Geographic Information Systems (GIS) it is necessary to model the real world to form computational representation. Since classical set theory is used in conventional GIS softwares to model uncertain real world, the natural variability in the environmental phenomena cannot be modeled appropriately. Because, pervasive imprecision of the real world is unavoidably reduced to artificially precise spatial entities when the conventional crisp logic is used for modeling.
Subject Keywords
Control and Systems Engineering
,
Theoretical Computer Science
,
Software
,
Information Systems and Management
,
Artificial Intelligence
,
Computer Science Applications
URI
https://hdl.handle.net/11511/37323
Journal
INFORMATION SCIENCES
DOI
https://doi.org/10.1016/j.ins.2005.02.006
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
The enhancement of the cell-based GIS analyses with fuzzy processing capabilities
Yanar, Tahsin Alp; Akyürek, Sevda Zuhal; Department of Geodetic and Geographical Information Technologies (2003)
In order to store and process natural phenomena in Geographic Information Systems (GIS) it is necessary to model the real world to form computational representation. Since classical set theory is used in conventional GIS software systems to model uncertain real world, the natural variability in the environmental phenomena can not be modeled appropriately. Because, pervasive imprecision of the real world is unavoidably reduced to artificially precise spatial entities when the conventional crisp logic is used...
An access structure for similarity-based fuzzy databases
Yazıcı, Adnan (Elsevier BV, 1999-04-01)
A significant effort has been made in representing imprecise information in database models by using fuzzy set theory. However, the research directed toward access structures to handle fuzzy querying effectively is still at an immature stage. Fuzzy querying involves more complex processing than the ordinary querying does. Additionally, a larger number of tuples are possibly selected by fuzzy conditions in comparison to the crisp ones. It is obvious that the need for fast response time becomes very important...
An improved method for inference of piecewise linear systems by detecting jumps using derivative estimation
Selcuk, A. M.; Öktem, Hüseyin Avni (Elsevier BV, 2009-08-01)
Inference of dynamical systems using piecewise linear models is a promising active research area. Most of the investigations in this field have been stimulated by the research in functional genomics. In this article we study the inference problem in piecewise linear systems. We propose first identifying the state transitions by detecting the jumps of the derivative estimates, then finding the guard conditions of the state transitions (thresholds) from the values of the state variables at the state transitio...
A finite field framework for modeling, analysis and control of finite state automata
Reger, Johann; Schmidt, Klaus Verner (Informa UK Limited, 2004-09-01)
In this paper, we address the modeling, analysis and control of finite state automata, which represent a standard class of discrete event systems. As opposed to graph theoretical methods, we consider an algebraic framework that resides on the finite field F-2 which is defined on a set of two elements with the operations addition and multiplication, both carried out modulo 2. The key characteristic of the model is its functional completeness in the sense that it is capable of describing most of the finite st...
A dynamic programming algorithm for tree-like weighted set packing problem
Gulek, Mehmet; Toroslu, İsmail Hakkı (Elsevier BV, 2010-10-15)
In hierarchical organizations, hierarchical structures naturally correspond to nested sets. That is, we have a collection of sets such that for any two sets, either one of them is a subset of the other, or they are disjoint. In other words, a nested set system forms a hierarchy in the form of a tree structure. The task assignment problem on such hierarchical organizations is a real life problem. In this paper, we introduce the tree-like weighted set packing problem, which is a weighted set packing problem r...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. Yanar and S. Z. Akyürek, “The enhancement of the cell-based GIS analyses with fuzzy processing capabilities,”
INFORMATION SCIENCES
, pp. 1067–1085, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37323.