Enhanced F-Perceptory Approach for Dealing with Geographic Data Imprecision from the Conceptual Modeling to the Fuzzy Geographical Database Building

When analyzing spatial issues, it is often that the geographer is confronted with many problems concerning the uncertainty of the available information. These problems may appear on the geometric or semantic quality of objects and as a result, a low precision is considered. So, it is necessary to develop representation and modeling methods that are suited to the imprecise nature of geographic data. This leads proposing recently F-Perceptory to manage fuzzy geographic data modeling. From the model described in Zoghlami, et al, (2011) some limits are relieved. F-Perceptory does not manage fuzzy composite geographic objects. The paper shows proposition to enhance the approach by the managing this type of objects in modeling and its transformation to the UML. On the technical level, the object modeling tools commonly used do not take into account fuzzy data. The authors propose new functional modules integrated under an existing CASE tool. Enhanced F-Perceptory Approach for Dealing with Geographic Data Imprecision from the Conceptual Modeling to the Fuzzy Geographical Database Building

[1]  Slawomir Zadrozny,et al.  Computing With Words Is an Implementable Paradigm: Fuzzy Queries, Linguistic Data Summaries, and Natural-Language Generation , 2010, IEEE Transactions on Fuzzy Systems.

[2]  Peter A. Burrough,et al.  Fuzzy mathematical methods for soil survey and land evaluation , 1989 .

[3]  Bill P. Buckles,et al.  Information-theoretical characterization of fuzzy relational databases , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  Yee Leung,et al.  Approximate Characterization of Some Fundamental Concepts of Spatial Analysis , 2010 .

[5]  Vincent B. Robinson.  Interactive machine acquisition of a fuzzy spatial relation , 1990 .

[6]  A. Miralles.  Ingénierie des modèles pour les applications environnementales , 2006 .

[7]  Alfred Stein,et al.  A system of types and operators for handling vague spatial objects , 2007, Int. J. Geogr. Inf. Sci..

[8]  E. Kerre,et al.  On the lossless-join decomposition of relation scheme(s) in a fuzzy relational data model , 1993, 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis.

[9]  Janusz Kacprzyk,et al.  Database Queries with Fuzzy Linguistic Quantifiers , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[10]  Simon Parsons,et al.  A review of uncertainty handling formalisms , 1998, Applications of Uncertainty Formalisms.

[11]  Zongmin Ma.  Fuzzy Information Modeling with the UML , 2005 .

[12]  Zongmin Ma,et al.  Fuzzy XML data modeling with the UML and relational data models , 2007, Data Knowl. Eng..

[13]  Patrick Bosc,et al.  Fuzzy querying with SQL: extensions and implementation aspects , 1988 .

[14]  M.A. Vila,et al.  Objects resemblance in a fuzzy object-oriented context , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[15]  Yee Leung,et al.  A Linguistically-Based Regional Classification System , 1985 .

[16]  Elena García Barriocanal,et al.  Extending object database interfaces with fuzziness through aspect-oriented design , 2006, SGMD.

[17]  Bruce W. Smith,et al.  Assessing the Success of an Industrial Cluster , 2012, Int. J. Appl. Geospat. Res..

[18]  B. Buckles,et al.  A domain calculus for fuzzy relational databases , 1989 .

[19]  R. Devillers.  Conception d'un système multidimensionnel d'information sur la qualité des données géospatiales , 2004 .

[20]  Fangju Wang,et al.  Fuzzy information representation and processing in conventional GIS software: database design and application , 1990, Int. J. Geogr. Inf. Sci..

[21]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[22]  Vincent B. Robinson,et al.  ABOUT DIFFERENT KINDS OF UNCERTAINTY IN COLLECTIONS OF SPATIAL DATA , 2008 .

[23]  David Altman,et al.  Fuzzy Set Theoretic Approaches for Handling Imprecision in Spatial Analysis , 1994, Int. J. Geogr. Inf. Sci..

[24]  Henri Prade,et al.  Generalizing Database Relational Algebra for the Treatment of Incomplete/Uncertain Information and Vague Queries , 1984, Inf. Sci..

[25]  Slawomir Zadrozny,et al.  FQUERY III +:a "human-consistent" database querying system based on fuzzy logic with linguistic quantifiers , 1989, Inf. Syst..

[26]  Peter Fisher,et al.  An investigation of the meaning of near and close on a university campus , 1991 .

[27]  E. F. Codd,et al.  A relational model of data for large shared data banks , 1970, CACM.

[28]  Anne Laurent.  Querying Fuzzy Multidimensional Databases: Unary Operators and Their Properties , 2003, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[29]  François Salgé.  CHAPTER SEVEN – Semantic accuracy , 1995 .

[30]  B. Buckles,et al.  A fuzzy representation of data for relational databases , 1982 .

[31]  V. Robinson.  Some implications of fuzzy set theory applied to geographic databases , 1988 .

[32]  Gregory Vert,et al.  Extending ERD modeling notation to fuzzy management of GIS data files , 2002, Data Knowl. Eng..

[33]  Y. Bédard.  VISUAL MODELLING OF SPATIAL DATABASES: TOWARDS SPATIAL PVL AND UML , 1999 .

[34]  Donna J. Peuquet,et al.  A Conceptual Framework and Comparison of Spatial Data Models , 1984 .

[35]  Herman Akdag,et al.  IMPROVEMENT OF THE F-PERCEPTORY APPROACH THROUGH MANAGEMENT OF FUZZY COMPLEX GEOGRAPHIC OBJECTS , 2015 .

[36]  Nancy Van Gyseghem,et al.  Imprecision and uncertainty in the UFO database model , 1998 .

[37]  Jonathan Lee,et al.  Modeling Imprecise Requirements with Fuzzy Objects , 1999, Inf. Sci..

[38]  Slawomir Zadrozny,et al.  Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools , 2005, Inf. Sci..

[39]  Elke A. Rundensteiner,et al.  On nearness measures in fuzzy relational data models , 1989, Int. J. Approx. Reason..

[40]  Philippe Smets,et al.  Imperfect Information: Imprecision and Uncertainty , 1996, Uncertainty Management in Information Systems.

[41]  Adnan Yazici,et al.  Modeling and querying fuzzy spatiotemporal databases , 2008, Inf. Sci..

[42]  Yvan Bédard,et al.  Modelling geospatial application databases using UML-based repositories aligned with international standards in geomatics , 2000, GIS '00.

[43]  Isabelle Bloch,et al.  Fuzzy spatial relationships for image processing and interpretation: a review , 2005, Image Vis. Comput..

[44]  Ronald R. Yager,et al.  General Multiple-Objective Decision Functions and Linguistically Quantified Statements , 1984, Int. J. Man Mach. Stud..

[45]  Gloria Bordogna,et al.  The Fuzzy Object Oriented Database Management System , 2000 .

[46]  Syed Akhter Hossain,et al.  NoSQL Database: New Era of Databases for Big data Analytics - Classification, Characteristics and Comparison , 2013, ArXiv.

[47]  Zongmin Ma,et al.  Querying fuzzy spatiotemporal data using XQuery , 2014, Integr. Comput. Aided Eng..

[48]  Rabi Prasad Padhy,et al.  RDBMS to NoSQL: Reviewing Some Next-Generation Non-Relational Database's , 2011 .

[49]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[50]  Anne Laurent,et al.  A new approach for the generation of fuzzy summaries based on fuzzy multidimensional databases , 2003, Intell. Data Anal..

[51]  Dimos Pantazis,et al.  Objets géographiques à limites indéterminées. Modélisation et intégration dans un modèle conceptuel de données , 1998 .

[52]  Y. Leung.  On the Imprecision of Boundaries , 2010 .

[53]  James F. Baldwin,et al.  A fuzzy relational inference language , 1984 .

[54]  Juan C. Cubero,et al.  A new definition of fuzzy functional dependency in fuzzy relational databases , 1994, Int. J. Intell. Syst..

[55]  Zongmin Ma,et al.  Conceptual design of fuzzy object‐oriented databases using extended entity‐relationship model , 2001, Int. J. Intell. Syst..

[56]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[57]  Frederick E. Petry,et al.  Extending the fuzzy database with fuzzy numbers , 1984, Inf. Sci..

[58]  Mario Piattini,et al.  Relaxing constraints in enhanced entity-relationship models using fuzzy quantifiers , 2004, IEEE Transactions on Fuzzy Systems.