Difference between revisions of "FFIREDESSYS"

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General System description

System name:

Acronym: FFIREDESSYS

Brief overview

FFIREDESSYS is a decision support system that estimates the structural forest fire risk on a global scale, introducing the use of fuzzy sets and fuzzy algebra concepts.

Scope of the system

The purpose of the FFIREDESSYS is to be used as a pilot system and to lead the way for further fuzzy systems development in the near future. This is the first DSS which use fuzzy algebra in this domain and from this point of view the FFIREDESSYS is globally unique.

System origin

Developed by L.S. Iliadis in 2003.
how was it developed
is it a commercial product
does it have real-life application cases

Support for specific issues

Forest fire risk estimation

Structure of the IFFIRES integrated system

Capability to support decision making phases

(NOTE I do not quite know what to do with this, as I do not understand it myself, although it seems related to system use)

(Click here to see a more detailed explanation)

Intelligence (+ explicit description of the support given by the DSS)
Design (+ explicit description of the support given by the DSS)
Choice (+ explicit description of the support given by the DSS)
Monitor (+ explicit description of the support given by the DSS)

Related systems

HEUDESSYS
FEIDESSYS
IFFIRES - Integrated Forest Fire Risk Estimation System

Data and data models

Typical spatial extent of application

Global level (e.g., a validation test has been made in the whole Greece estimating forest fire risk for each prefecture).

Forest data input

There is a Knowledge Base containing forest fire data.

Models

Forest models

A fuzzy system model for forest fire risk estimation was used, applying both trapezoidal and triangular membership functions.

Decision Support

Definition of management interventions

Knowing an estimated forest fire risk enables local authorities to prevent forest fire occurrence with silviculture interventions and to increase the forest fight means in the foreseen risky areas.

Typical temporal scale of application

New forest fire risk estimation must be made each year.

Types of decisions supported

Management level
- strategic decisions
- administrative decisions
- operating control decisions
Management function
planning decisions
- organizing decisions
- command decisions
- control decisions
- coordination decisions
decision making situation
- unilateral

Output

Types of outputs

Types of outputs produced (tables, maps, 3-D visualizations, pre-programmed summaries, etc)

Spatial analysis capabilities

integrated capabilities
facilitates links to GIS (wizards, etc.)
provides standard data import/export formats
allows spatial analysis (e.g. topology overlays (e.g. multi layering of different maps, selection of objects based on selection criteria, aggregation by attributes (e.g. areas of similar characteristics), Linking by logical means, Statistics by area, analysis with digital terrain model)

Abilities to address interdisciplinary, multi-scaled, and political issues

Evaluate interactions between different basic information types (biophysical, economic, social). Produce coordinated results for decision makers operating at different spatial scales facilitate social negotiation and learning

System

System requirements

Operating Systems: The DSS runs on any type of Pentium PC that uses Windows 98, Windows 2000, Windows XP and Windows NT. The system is not portable only to Unix machines.
Other software needed (GIS, MIP packages, etc...)
Development status: an initial version was developed (2004)

Architecture and major DSS components

Developed using MS Visual Basic. It is an auto run system that has been developed in the laboratory of Forest Informatics of Democritus University of Thrace, Greece.

Usage

Government and research use.

Computational limitations

It has proved to run properly in a Pentium III or above.

User interface

It has a friendly user interface that uses menus, screens and pop-up menus. The choices are done by the use of keyboard buttons.

References

External resources

ILIADIS L.S. (2005): A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation. Environmental Modelling & Software, 20, 613-621.

@@ Line 8: / Line 8: @@
 FFIREDESSYS is a [[decision support system]] that estimates the structural forest fire risk on a global scale, introducing the use of fuzzy sets and fuzzy algebra concepts.
+[[Category:Not finished articles]]
 [[Category:Decision support system]]
 [[Category:Greek DSS]]
@@ Line 15: / Line 16: @@
 [[Category:MS Visual Basic]]
 [[Category:Windows Client OS]]
-[[Category:]]
+[[Category:Operational level]]
 __TOC__
@@ Line 23: / Line 24: @@
 === System origin ===
-* Developed by L.S. Iliadis in 2003.
+* Developed by L.S. Iliadis in 2003. <div style="color:red">
 * how was it developed
 * is it a commercial product
-* does it have real-life application cases
+* does it have real-life application cases </div>
 === Support for specific issues  ===
-Is the system designed to take into account specific uses? E.g. guidance on ways to characterize biodiversity, economic-biodiversity tradeoff analysis methods, risk assessment methods, landscape analysis methods, timber harvest effects, climate change effects, biological effects (pests, pathogens, invasives), fire,...
+Forest fire risk estimation
+[[Image:IFFIRES.png|thumb|300px|Structure of the IFFIRES integrated system]] <div style="color:red">
-=== Support for specific thematic areas of a problem type  ===
-* Silvicultural
-* Certification
-* Conservation
-* Restoration
-* Transportation
-* Development choices / land use zoning
-* Policy/intervention alternatives
-* Sustainability impact assessment (SIA)
-[[Image:IFFIRES.png|thumb|300px|Structure of the IFFIRES integrated system]]
 === Capability to support decision making phases   ===
@@ Line 49: / Line 40: @@
 * Design (+ explicit description of the support given by the DSS)
 * Choice (+ explicit description of the support given by the DSS)
-* Monitor (+ explicit description of the support given by the DSS)
+* Monitor (+ explicit description of the support given by the DSS) </div>
 === Related systems  ===
@@ Line 55: / Line 46: @@
 * [[FEIDESSYS]]
 * [[IFFIRES]] - Integrated Forest Fire Risk Estimation System
 == Data and data models ==
 === Typical spatial extent of application  ===
-Define the scale of use for the application (user defined, regional, multi-owner forest single ownership forest, Multiple scale interaction)
+Global level (e.g., a validation test has been made in the whole Greece estimating forest fire risk for each prefecture).
 === Forest data input  ===
-Describe the basic forest input (forest level, stand level, or individual tree level), and appropriate meta-data, such as data provenance (Areal coverage, Sample of plots, stands, Contiguous forest cover). GIS information is to be considered here, namely include cover tyes and type of information (raster or vectorial, necessity of topological information)  If necessary describe surrogate sources of information
+There is a Knowledge Base containing forest fire data.
-If necessary describe other types of required data (economic, social)
-=== Type of information input from user (via GUI) ===
-Describe what is the information that the user directly inputs in the system if any): expert knowledge, opinion, goals and production objectives, preferences, stand/site information....
 == Models ==
 === Forest models ===
-Growth, Yield, Carbon, Wood quality, biodiversity and habitat suitability, environmental and external effects (fire, storms, pests, diseases, climate change, etc)
+A fuzzy system model for forest fire risk estimation was used, applying both trapezoidal and triangular membership functions.
-=== Social models  ===
-historical and cultural values of sites, values due to peace and quiet, esthetic values, values due to recreational activities, ethical values): E. g. Recreation, Health, Game
@@ Line 81: / Line 66: @@
 === Definition of management interventions ===
-Define what is available for the manager to intervene in the forest: time of harvest, plantations, thinnings, reconversions...
+Knowing an estimated forest fire risk enables local authorities to prevent forest fire occurrence with silviculture interventions and to increase the forest fight means in the foreseen risky areas.
-Existence of prescription writer, simple enumeration of all possibilities, scenario simulation , etc.
 === Typical temporal scale of application ===
-Define the temporal scale of the application: E.g., operational and immediate level, Tactical planning (short term) and strategic level.
+New forest fire risk estimation must be made each year.
 === Types of decisions supported  ===
@@ Line 97: / Line 81: @@
 **command decisions
 **control decisions
-** coordination decisions
+**coordination decisions
 *decision making situation
 **unilateral
-** collegial
-**Bargaining / participative decision making
-=== Decision-making processes and models ===
-*Logic modeling
-*Operations research modeling
-**Direct approaches
-**Heuristic manipulation of simulation models
-*Business modeling
-*Simulation (with and without stochasticity)
-*Multiple criteria/ranking
-*Other
 == Output ==
+<div style="color:red">
 === Types of  outputs ===
@@ Line 126: / Line 100: @@
 === Abilities to address interdisciplinary, multi-scaled, and political issues  ===
-Evaluate interactions between different basic information types (biophysical, economic, social). Produce coordinated results for decision makers operating at different spatial scales facilitate social negotiation and learning
+Evaluate interactions between different basic information types (biophysical, economic, social). Produce coordinated results for decision makers operating at different spatial scales facilitate social negotiation and learning </div>
 == System ==
 === System requirements  ===
-* Operating Systems: The DSS runs on any type of Pentium PC that uses Windows 98, Windows 2000, Windows XP and Windows NT. The system is not portable only to Unix machines.
+* Operating Systems: The DSS runs on any type of Pentium PC that uses Windows 98, Windows 2000, Windows XP and Windows NT. The system is not portable only to Unix machines. <div style="color:red">
 * Other software needed (GIS, MIP packages, etc...)
-* Development status: an initial version was developed (2004)
+* Development status: an initial version was developed (2004) </div>
 === Architecture and major DSS components ===
-Developed using MS Visual Basic.
+Developed using MS Visual Basic. It is an auto run system that has been developed in the laboratory of Forest Informatics of Democritus University of Thrace, Greece.
-LEORUN is the environment for the execution of the LEONARDO packed Knowledge Bases. It is an auto run system that has been developed in the laboratory of Forest Informatics of Democritus University of Thrace, Greece.
 === Usage ===
-Describe the level of use: Research level use, Industry use, Government use
+Government and research use.
 === Computational limitations ===
@@ Line 148: / Line 122: @@
 It has a friendly user interface that uses menus, screens and pop-up menus. The choices are done by the use of keyboard buttons.
-=== Documentation and support ===
-Describe the connection to Help-system and possibilities for assistance, as well as the required training and user support levels
-=== Installation ===
-* Prerequisite knowledge: Level of effort to become functional
-* Cost: (purchase price, development costs, demonstrated return on investment, cost of use, training costs, licence and maintenance costs)
-* Demo: allows the download/utilization of a trial version. If yes, where is it available and what are the trial conditions.
 ==References==
-===Cited references===
-<references/>
 ===External resources===
 ILIADIS L.S. (2005): A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation. ''Environmental Modelling & Software'', 20, 613-621.