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  1. Market wood products‏‎ (285 links)
  2. Multiple objectives‏‎ (240 links)
  3. Long term (strategic)‏‎ (200 links)
  4. Type:String‏‎ (191 links)
  5. Forest level‏‎ (189 links)
  6. Single decision maker‏‎ (184 links)
  7. Non-market services‏‎ (181 links)
  8. Spatial with no neighbourhood interrelations‏‎ (141 links)
  9. Stand level‏‎ (130 links)
  10. Medium term (tactical)‏‎ (130 links)
  11. Market services‏‎ (110 links)
  12. Any simulation method‏‎ (108 links)
  13. Regional/national level‏‎ (107 links)
  14. Spatial with neighbourhood interrelations‏‎ (102 links)
  15. Market non-wood products‏‎ (99 links)
  16. More than one decision maker‏‎ (97 links)
  17. Single objective‏‎ (90 links)
  18. Non spatial‏‎ (90 links)
  19. Short term (operational)‏‎ (71 links)
  20. Use‏‎ (61 links)
  21. N/A‏‎ (60 links)
  22. Harvest scheduling‏‎ (60 links)
  23. More than one decision maker/stakeholder‏‎ (57 links)
  24. Help:Contents‏‎ (56 links)
  25. Linear programming‏‎ (50 links)
  26. Type:Page‏‎ (49 links)
  27. Developer/Architect‏‎ (47 links)
  28. EMDS‏‎ (44 links)
  29. Portugal‏‎ (42 links)
  30. Italy‏‎ (41 links)
  31. User‏‎ (40 links)
  32. PYL‏‎ (35 links)
  33. Researcher‏‎ (35 links)
  34. User:WikiSysop‏‎ (34 links)
  35. Growth models‏‎ (33 links)
  36. Forest inventory data‏‎ (32 links)
  37. Participation‏‎ (32 links)
  38. Any optimisation method‏‎ (31 links)
  39. DSD‏‎ (29 links)
  40. Heureka‏‎ (29 links)
  41. Germany‏‎ (28 links)
  42. Type:Number‏‎ (28 links)
  43. SIPAFIT‏‎ (27 links)
  44. Yield models‏‎ (27 links)
  45. FORFUN‏‎ (27 links)
  46. ProgettoBosco‏‎ (26 links)
  47. Group work / Expert meeting‏‎ (26 links)
  48. Spain‏‎ (25 links)
  49. ClimChAlp‏‎ (25 links)
  50. Stand development‏‎ (25 links)
  51. EFIMOD‏‎ (24 links)
  52. Facilitator‏‎ (24 links)
  53. Type:Text‏‎ (24 links)
  54. Mixed integer programming‏‎ (23 links)
  55. MyTestDSS‏‎ (23 links)
  56. Austria‏‎ (22 links)
  57. Forest (inventory data) information management‏‎ (22 links)
  58. United States‏‎ (22 links)
  59. Nonlinear programming‏‎ (22 links)
  60. Transfer‏‎ (22 links)
  61. Architecture‏‎ (22 links)
  62. User:Dominique Weber‏‎ (21 links)
  63. Metaheuristic algorithm‏‎ (21 links)
  64. CONES‏‎ (21 links)
  65. Multi-Criteria Approval‏‎ (21 links)
  66. Forest landscape development‏‎ (21 links)
  67. Ireland‏‎ (21 links)
  68. Sweden‏‎ (21 links)
  69. Hungary‏‎ (20 links)
  70. FMPP‏‎ (20 links)
  71. Exploring options‏‎ (20 links)
  72. Harvest potential assessment‏‎ (20 links)
  73. MELA‏‎ (20 links)
  74. WIS.2‏‎ (20 links)
  75. Denmark‏‎ (20 links)
  76. LEaRNForME‏‎ (20 links)
  77. TestDSS‏‎ (19 links)
  78. SiWaWa‏‎ (19 links)
  79. SADPOF‏‎ (19 links)
  80. None‏‎ (19 links)
  81. Monsu‏‎ (19 links)
  82. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’‏‎ (18 links)
  83. Switzerland‏‎ (18 links)
  84. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (18 links)
  85. ESC‏‎ (18 links)
  86. Multi-Attribute Utility Theory (MAUT)‏‎ (18 links)
  87. Knowledge management‏‎ (18 links)
  88. Database‏‎ (18 links)
  89. United States-The forest plan revision process in the Okanogan Wenatchee National Forest‏‎ (17 links)
  90. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners‏‎ (17 links)
  91. Sim4Tree‏‎ (17 links)
  92. Specification‏‎ (17 links)
  93. Unspecified‏‎ (17 links)
  94. United Kingdom‏‎ (17 links)
  95. Stakeholder group / meeting‏‎ (17 links)
  96. PEB‏‎ (17 links)
  97. New Zealand-Modular Forest Management DSS in NZ‏‎ (17 links)
  98. T(ree)‏‎ (17 links)
  99. VDDT-Path‏‎ (16 links)
  100. OSMOSE‏‎ (16 links)
  101. PLANFLOR‏‎ (16 links)
  102. Mesta‏‎ (16 links)
  103. Brazil‏‎ (16 links)
  104. Any statistics method‏‎ (16 links)
  105. Italy-A comprehensive system for forest management planning in Trentino Province‏‎ (16 links)
  106. United States-Watershed Condition Assessment for the Northwest Forest Plan‏‎ (16 links)
  107. Non-computerized DSS‏‎ (16 links)
  108. Evaluation of forest development scenario‏‎ (16 links)
  109. EFISCEN‏‎ (16 links)
  110. Sweden-The development and introduction of versatile DSS in Sweden‏‎ (16 links)
  111. Update‏‎ (16 links)
  112. SIMO‏‎ (16 links)
  113. Belgium-BoLa a specific sDSS to support land use planning in Flanders‏‎ (15 links)
  114. PSSis‏‎ (15 links)
  115. Finland‏‎ (15 links)
  116. Application‏‎ (15 links)
  117. TAURON‏‎ (15 links)
  118. User defined‏‎ (15 links)
  119. Evaluating options‏‎ (15 links)
  120. MONTE‏‎ (15 links)
  121. Belgium‏‎ (15 links)
  122. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non‏‎ (15 links)
  123. SGIS‏‎ (15 links)
  124. RODPOST‏‎ (15 links)
  125. ToSIA‏‎ (15 links)
  126. EcologicalSiteClassification‏‎ (15 links)
  127. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (14 links)
  128. Data and data management‏‎ (14 links)
  129. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region‏‎ (14 links)
  130. Defining the problem‏‎ (14 links)
  131. Slovenia‏‎ (14 links)
  132. TerEval‏‎ (14 links)
  133. Monitoring and evaluating the outcome‏‎ (14 links)
  134. Norway‏‎ (14 links)
  135. DSS allowed to explain better some technical concepts to non-professional stakeholders‏‎ (14 links)
  136. Italy-Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites‏‎ (14 links)
  137. PLANKAT‏‎ (14 links)
  138. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders‏‎ (14 links)
  139. PROTEUS‏‎ (14 links)
  140. RPF‏‎ (14 links)
  141. Analytical Hierarchy Process (AHP)‏‎ (14 links)
  142. United States-Boise-Payette-Sawtooth National Forest Plan‏‎ (13 links)
  143. An iterative process of presenting results to subject matter experts enabled them to better‏‎ (13 links)
  144. DSS helped document and apply decision criteria consistently, and therefore produced a more‏‎ (13 links)
  145. OpTimber-LP‏‎ (13 links)
  146. A more informative output should be generated with clear graphs and maps indicating long-term‏‎ (13 links)
  147. MCDA‏‎ (13 links)
  148. AVVIRK-2000‏‎ (13 links)
  149. Forest managers have to analyze how their forest management interventions effect the landscape‏‎ (13 links)
  150. Enlarged decision space‏‎ (13 links)
  151. Property:Has working group theme‏‎ (13 links)
  152. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the‏‎ (13 links)
  153. NorFor‏‎ (13 links)
  154. SØK‏‎ (13 links)
  155. Austria-Improving forestry extension services for small-scale private landowners‏‎ (13 links)
  156. Generation‏‎ (13 links)
  157. The DSS models built must match the knowledge of the local forest managers, so the ability for local‏‎ (13 links)
  158. End user engagement throughout the development and deployment cycle is very important‏‎ (13 links)
  159. OffREval‏‎ (12 links)
  160. It would have been better to involve some end users at earlier stages of the system development‏‎ (12 links)
  161. To meet the needs of customer - the Forest Service - and to obtain satisfying results the‏‎ (12 links)
  162. Models and methods‏‎ (12 links)
  163. A financial analysis is an important component in the discussion about the preferences of different‏‎ (12 links)
  164. Analysis at the landscape level allowed the integration of concerns about multiple resources as well‏‎ (12 links)
  165. Adapting the software to make it possible to easily include also the output of other mechanistic‏‎ (12 links)
  166. Spatial variation between regions led to the development of different regional models, which led to‏‎ (12 links)
  167. Despite the widely use and acceptance of the DSS there was still a lack of expertise to‏‎ (12 links)
  168. Interface‏‎ (12 links)
  169. Afforestion and deforestation options should be included in the management options‏‎ (12 links)
  170. Getting joint funding from both the forest and environmental sectors can be a successfull for‏‎ (12 links)
  171. PractiSFM‏‎ (12 links)
  172. DSS can help in varying the treatment according to more than one forest function‏‎ (12 links)
  173. User interface and outputs‏‎ (12 links)
  174. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and‏‎ (12 links)
  175. Running the DSS required special skills, therefore the local planning team required considerable‏‎ (12 links)
  176. Type:Boolean‏‎ (12 links)
  177. Projection of stand development increases knowledge base‏‎ (12 links)
  178. MAPSS‏‎ (12 links)
  179. Knowledge Identification‏‎ (11 links)
  180. Users preferred enhanced functionality rather than useability‏‎ (11 links)
  181. The ProgettoBosco working methodology, based on cooperation, successive approximations and‏‎ (11 links)
  182. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley‏‎ (11 links)
  183. Interpretative case studies can help reduce the gap between research and practice‏‎ (11 links)
  184. Stakeholders contribution in ranking forest functions‏‎ (11 links)
  185. Knowledge Storage‏‎ (11 links)
  186. Capabilities‏‎ (11 links)
  187. SifPlan‏‎ (11 links)
  188. Expert System‏‎ (11 links)
  189. EMIS‏‎ (11 links)
  190. Project management‏‎ (11 links)
  191. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network‏‎ (11 links)
  192. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be‏‎ (11 links)
  193. ForMIS‏‎ (11 links)
  194. New Zealand‏‎ (11 links)
  195. Sweden-The history of a successfull forest DSS in Sweden‏‎ (11 links)
  196. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain‏‎ (11 links)
  197. KUBIK‏‎ (11 links)
  198. Neighbourhood interrelations should be included in the generator‏‎ (11 links)
  199. Provide a simple version of the DSS, which new users can try out and learn quickly‏‎ (11 links)
  200. Russia‏‎ (10 links)
  201. Problem specification‏‎ (10 links)
  202. Need of a moderator function‏‎ (10 links)
  203. The adoption of the collaborative learning method made possible to gradually select the conceptual‏‎ (10 links)
  204. The use of the DSS improved communication among the planning team by providing a framework of the‏‎ (10 links)
  205. ForestGales‏‎ (10 links)
  206. Basic structure‏‎ (10 links)
  207. It should be possible to specify the rotation time of a species not only by age but also by target‏‎ (10 links)
  208. Use of the DSS has been considered successful by the participating organizations, even though it has‏‎ (10 links)
  209. As the core of forest DSS are models describing the development of trees and stands (growth and‏‎ (10 links)
  210. Identification‏‎ (10 links)
  211. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the‏‎ (10 links)
  212. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable‏‎ (10 links)
  213. Goal programming (GP)‏‎ (10 links)
  214. Flexibility‏‎ (10 links)
  215. The tracing of the actor network supported the identification of the key actors influencing the collaborative DSS implementation and institutionalization‏‎ (10 links)
  216. Utilities‏‎ (10 links)
  217. Estonia‏‎ (10 links)
  218. Chile‏‎ (10 links)
  219. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model‏‎ (10 links)
  220. The analysis team used internal prototyping, which helped train the staff and identify possible‏‎ (10 links)
  221. From a management perspective, to avoid the complication of testing something new, the models used‏‎ (10 links)
  222. Dynamic programming‏‎ (10 links)
  223. Requirement of specialized skills can discourage some potential users‏‎ (10 links)
  224. Projmgt‏‎ (10 links)
  225. The scope of the modeling project can change significantly during the project‏‎ (10 links)
  226. The software did not provide much support for formatting of the outputs in a format that could be‏‎ (10 links)
  227. Regular ongoing engagement helped maintain interest of users‏‎ (10 links)
  228. The use of structured output (maps, tables and charts) makes the methodology and the results more‏‎ (10 links)
  229. DSS‏‎ (10 links)
  230. Portugal-Supporting a multi stakeholders decision process in a Portuguese National Forest‏‎ (10 links)
  231. The tracing of the current actor network interactions made the group realize that they need a different kind of stakeholders from what they previously thought‏‎ (10 links)
  232. Harvesting technology selection‏‎ (10 links)
  233. Agflor‏‎ (10 links)
  234. Development‏‎ (10 links)
  235. Results are always strongly dependent on the quality of the underlying data‏‎ (10 links)
  236. Monte Carlo simulation‏‎ (9 links)
  237. The user has to be aware of the possibly large impact that the chosen land indicators and threshold‏‎ (9 links)
  238. The choice to develop the system in an Excel environment was based on the status of computer‏‎ (9 links)
  239. Modular approach helpful in assisting industry uptake‏‎ (9 links)
  240. Guidance and help‏‎ (9 links)
  241. The activation of an iterative process through periodical meetings permitted to all the stakeholders‏‎ (9 links)
  242. Model building was rapid, it was assembling the data that took by far the most time‏‎ (9 links)
  243. Forest fire‏‎ (9 links)
  244. The definition of standardized and specific criteria for selecting and zoning forest compartment‏‎ (9 links)
  245. Category:Pinus sylvestris‏‎ (9 links)
  246. HylobiusManagementSupportSystem‏‎ (9 links)
  247. Design‏‎ (9 links)
  248. Lack of proper documentation and support services (manual, website, etc) can severely limit the‏‎ (9 links)
  249. SADfLOR‏‎ (9 links)
  250. Providing procedures and structure for data flow from selection of field sample, performing field‏‎ (9 links)
  251. Artificial Intelligence‏‎ (9 links)
  252. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company‏‎ (9 links)
  253. Evaluation‏‎ (9 links)
  254. It is necessary to know which data will be use as variables in the models before designing the DSS‏‎ (9 links)
  255. Plan the system architecture based on a broad view of future possibilities‏‎ (9 links)
  256. Prioritization of management strategies‏‎ (9 links)
  257. Best Practices‏‎ (9 links)
  258. The development of large and enduring systems requires a long term approach‏‎ (9 links)
  259. The use of EMDS allowed the planning team to identify priority area for restoration treatments that‏‎ (8 links)
  260. Actor Network Theory provides a suitable lens for exploring both technical and human aspects of DSS institutionalization in the forestry domain‏‎ (8 links)
  261. Category:Decision support system‏‎ (8 links)
  262. Learning‏‎ (8 links)
  263. User control‏‎ (8 links)
  264. Transparency‏‎ (8 links)
  265. Tree species suitability‏‎ (8 links)
  266. Survey / Questiannaire‏‎ (8 links)
  267. Multiple DSS are often needed to meet complex needs‏‎ (8 links)
  268. Operational aspects of the system should be enhanced‏‎ (8 links)
  269. Group decision making techniques‏‎ (8 links)
  270. The analysis of the actor network interactions allowed to identify the criticalities to be solved in order to develop the collaborative process‏‎ (8 links)
  271. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is‏‎ (8 links)
  272. Knowledge Transfer‏‎ (8 links)
  273. Property:Has support for social participation‏‎ (8 links)
  274. Ecological data‏‎ (8 links)
  275. Woodstock + Stanley‏‎ (8 links)
  276. Appropriate presentation‏‎ (8 links)
  277. The DSS usage enabled the planning team to measure the achievement of the restoration goals‏‎ (8 links)
  278. SILVANET‏‎ (8 links)
  279. HMSS‏‎ (7 links)
  280. Habitat suitability‏‎ (7 links)
  281. Provide missing help/documentation service‏‎ (7 links)
  282. Consistency‏‎ (7 links)
  283. Simulated annealing‏‎ (7 links)
  284. Error handling and recovery‏‎ (7 links)
  285. Type:URL‏‎ (7 links)
  286. Documentation and training‏‎ (7 links)
  287. ETÇAP‏‎ (7 links)
  288. Exchanging Information‏‎ (7 links)
  289. Fuzzy logic‏‎ (7 links)
  290. ForestGALES‏‎ (7 links)
  291. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case‏‎ (7 links)
  292. South Africa‏‎ (7 links)
  293. Property:Has related case‏‎ (7 links)
  294. The very easy user-friendly interface of the software and the clearness of method can be exploited‏‎ (7 links)
  295. WIS.2.Software‏‎ (7 links)
  296. Simon's decision making model‏‎ (7 links)
  297. SIGFOR‏‎ (7 links)
  298. Property:Wg1‏‎ (7 links)
  299. Category:Picea abies‏‎ (7 links)
  300. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company‏‎ (7 links)
  301. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.‏‎ (7 links)
  302. Students studying forest management planning procedures and processes were very useful ‘guinea pigs’‏‎ (7 links)
  303. Problem formulation‏‎ (6 links)
  304. Property:Wg3‏‎ (6 links)
  305. Need of flexibilization of analytical tools - no "overdesigned" tool that provides too much features for the use‏‎ (6 links)
  306. Property:Wg4‏‎ (6 links)
  307. Community of Practice‏‎ (6 links)
  308. Haloaclontologybundle‏‎ (6 links)
  309. Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley‏‎ (6 links)
  310. Documentation‏‎ (6 links)
  311. Carbon sequestration‏‎ (6 links)
  312. WIS.2.Decision support techniques‏‎ (6 links)
  313. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change‏‎ (6 links)
  314. Resources‏‎ (6 links)
  315. Canada‏‎ (6 links)
  316. Climate data‏‎ (6 links)
  317. Storage‏‎ (6 links)
  318. AFFOREST-sDSS‏‎ (6 links)
  319. WIS.2.Description of DSS development‏‎ (6 links)
  320. MatrixGen‏‎ (6 links)
  321. Property:Has decision support techniques‏‎ (6 links)
  322. Property:Has software‏‎ (6 links)
  323. Property:Has country‏‎ (6 links)
  324. Forest road investment planning‏‎ (6 links)
  325. Netherlands‏‎ (6 links)
  326. Structure process‏‎ (6 links)
  327. Type:Date‏‎ (6 links)
  328. Forest stand models‏‎ (6 links)
  329. Communication‏‎ (6 links)
  330. WIS.2.Support of social participation‏‎ (6 links)
  331. Log bucking optimization / roundwood output‏‎ (6 links)
  332. Pareto Frontier Techniques are useful for multi-criteria forest management planning‏‎ (6 links)
  333. Property:Wg2‏‎ (6 links)
  334. Multi-criteria decision analysis (MCDA)‏‎ (6 links)
  335. Knowledge Generation‏‎ (6 links)
  336. Ad-hoc‏‎ (6 links)
  337. CONES.Decision support techniques‏‎ (5 links)
  338. Wiki editing‏‎ (5 links)
  339. Greece‏‎ (5 links)
  340. Not prescriptive‏‎ (5 links)
  341. Early involvement‏‎ (5 links)
  342. Sensivity analysis‏‎ (5 links)
  343. Iterative process‏‎ (5 links)
  344. Optimal‏‎ (5 links)
  345. Form:Case‏‎ (5 links)
  346. Property:Has full name‏‎ (5 links)
  347. Portugal-A Decision Support System for eucalypt forest management under climate change scenarios‏‎ (5 links)
  348. ClimChAlp.Decision support techniques‏‎ (5 links)
  349. Carbon and nitrogen flows‏‎ (5 links)
  350. Climate change‏‎ (5 links)
  351. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use‏‎ (5 links)
  352. Knowledge Management tools‏‎ (5 links)
  353. France‏‎ (5 links)
  354. Slovakia‏‎ (5 links)
  355. Morocco‏‎ (5 links)
  356. Wind damage risk‏‎ (5 links)
  357. Provide missing help-documentation service‏‎ (5 links)
  358. Agreeing on assumptions‏‎ (5 links)
  359. Property:Has DSS development‏‎ (5 links)
  360. Biophysical data‏‎ (5 links)
  361. EFIMOD.Decision support techniques‏‎ (5 links)
  362. Unnamed Knowledge based DSS‏‎ (5 links)
  363. Students studying forest management planning procedures and processes were very useful product testers‏‎ (5 links)
  364. Chosing of DSS‏‎ (5 links)
  365. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic‏‎ (5 links)
  366. Location-specific stakeholder values‏‎ (5 links)
  367. Monetary values of non-market products and services‏‎ (5 links)
  368. Property:Has knowledge management processes‏‎ (5 links)
  369. FORFUN.Decision support techniques‏‎ (5 links)
  370. YAFO‏‎ (5 links)
  371. WIS.2.Knowledge management process‏‎ (5 links)
  372. Expert system‏‎ (5 links)
  373. Web portal‏‎ (5 links)
  374. To compare the current and the past quantitative-qualitative parameters of the forest, great effort‏‎ (5 links)
  375. BFH-HAFL‏‎ (5 links)
  376. Heureka.Decision support techniques‏‎ (5 links)
  377. Property:Has spatial scale‏‎ (5 links)
  378. Input data‏‎ (5 links)
  379. Enlarge the decision space by generating a large set of potential management alternatives‏‎ (5 links)
  380. Stakeholder involvement‏‎ (5 links)
  381. Public meetings / hearings‏‎ (5 links)
  382. Prototyping‏‎ (5 links)
  383. SiWaWa.Support of social participation‏‎ (5 links)
  384. GB Forestry DSS‏‎ (5 links)
  385. Czech Republic‏‎ (5 links)
  386. EMDS.Decision support techniques‏‎ (5 links)
  387. To compare the current and the past quantitative/qualitative parameters of the forest, great effort‏‎ (5 links)
  388. China‏‎ (5 links)
  389. Forest health monitoring information management‏‎ (5 links)
  390. Listening to local community‏‎ (5 links)
  391. Property:ID‏‎ (5 links)
  392. Need for new models for the later use of a tool‏‎ (5 links)
  393. Austria.105.Decision support techniques‏‎ (4 links)
  394. SADfLOR/SAGfLOR‏‎ (4 links)
  395. Category:Picea sitchensis‏‎ (4 links)
  396. Effects of models‏‎ (4 links)
  397. Germany.1.Decision support techniques‏‎ (4 links)
  398. Ireland.125.Decision support techniques‏‎ (4 links)
  399. Hungary.94.Decision support techniques‏‎ (4 links)
  400. Estonia.102.Decision support techniques‏‎ (4 links)
  401. Biodiversity‏‎ (4 links)
  402. Canada.1.Decision support techniques‏‎ (4 links)
  403. China.43.Decision support techniques‏‎ (4 links)
  404. Evaluation of forest protective functions‏‎ (4 links)
  405. Electronic spreadsheets‏‎ (4 links)
  406. Intelligent Agent‏‎ (4 links)
  407. Simple ranking‏‎ (4 links)
  408. Receving DSS development guidelines from user‏‎ (4 links)
  409. Chile.93.Decision support techniques‏‎ (4 links)
  410. Category:Pinus contorta‏‎ (4 links)
  411. Italy.1.Decision support techniques‏‎ (4 links)
  412. Hungary.16.Decision support techniques‏‎ (4 links)
  413. Poland‏‎ (4 links)
  414. Anguilla‏‎ (4 links)
  415. DSD.Decision support techniques‏‎ (4 links)
  416. Estonia.124.Decision support techniques‏‎ (4 links)
  417. Brazil.38.Decision support techniques‏‎ (4 links)
  418. Hungary.55.Decision support techniques‏‎ (4 links)
  419. Estonia.76.Decision support techniques‏‎ (4 links)
  420. Chile.65.Decision support techniques‏‎ (4 links)
  421. China.40.Decision support techniques‏‎ (4 links)
  422. Simosol‏‎ (4 links)
  423. Ireland.81.Decision support techniques‏‎ (4 links)
  424. Denmark.67.Decision support techniques‏‎ (4 links)
  425. Hungary.15.Decision support techniques‏‎ (4 links)
  426. Form:DSS‏‎ (4 links)
  427. Canada.26.Decision support techniques‏‎ (4 links)
  428. Property:Has input data format‏‎ (4 links)
  429. Austria.83.Decision support techniques‏‎ (4 links)
  430. Brazil.31.Decision support techniques‏‎ (4 links)
  431. Greece.11.Decision support techniques‏‎ (4 links)
  432. Water and energy balance of territories‏‎ (4 links)
  433. Direct point allocation‏‎ (4 links)
  434. Estonia.25.Decision support techniques‏‎ (4 links)
  435. Stakeholder involvement in DSS design‏‎ (4 links)
  436. Germany.121.Decision support techniques‏‎ (4 links)
  437. Finland.7.Decision support techniques‏‎ (4 links)
  438. Installation/maintenance and support‏‎ (4 links)
  439. Chile.39.Decision support techniques‏‎ (4 links)
  440. Property:Has input data requirements‏‎ (4 links)
  441. Estonia.50.Decision support techniques‏‎ (4 links)
  442. Canada.75.Decision support techniques‏‎ (4 links)
  443. EFISCEN.Decision support techniques‏‎ (4 links)
  444. Denmark.36.Decision support techniques‏‎ (4 links)
  445. Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company‏‎ (4 links)
  446. Austria.97.Decision support techniques‏‎ (4 links)
  447. GAYA-JLP‏‎ (4 links)
  448. Italy.28.Decision support techniques‏‎ (4 links)
  449. Category:Case‏‎ (4 links)
  450. Finland.122.Decision support techniques‏‎ (4 links)
  451. Hungary.1.Decision support techniques‏‎ (4 links)
  452. Germany.120.Decision support techniques‏‎ (4 links)
  453. Brazil.37.Decision support techniques‏‎ (4 links)
  454. Austria.111.Decision support techniques‏‎ (4 links)
  455. Conservation value‏‎ (4 links)
  456. Germany.5.Decision support techniques‏‎ (4 links)
  457. Ireland.116.Decision support techniques‏‎ (4 links)
  458. Cellular automata‏‎ (4 links)
  459. Use of adequate DSS development methodology‏‎ (4 links)
  460. Finland.63.Decision support techniques‏‎ (4 links)
  461. Alter‏‎ (4 links)
  462. Hungary.80.Decision support techniques‏‎ (4 links)
  463. Greece.79.Decision support techniques‏‎ (4 links)
  464. AVVIRK-2000.Decision support techniques‏‎ (4 links)
  465. SIMO.Description of DSS development‏‎ (4 links)
  466. Property:Has output data format‏‎ (4 links)
  467. Agflor.Decision support techniques‏‎ (4 links)
  468. China.100.Decision support techniques‏‎ (4 links)
  469. Denmark.5.Decision support techniques‏‎ (4 links)
  470. VDDT‏‎ (4 links)
  471. Latvia‏‎ (4 links)
  472. DSD.Software‏‎ (4 links)
  473. Estonia.86.Decision support techniques‏‎ (4 links)
  474. Testing‏‎ (4 links)
  475. Ireland.84.Decision support techniques‏‎ (4 links)
  476. Estonia.77.Decision support techniques‏‎ (4 links)
  477. Category:DSS‏‎ (4 links)
  478. Hungary.89.Decision support techniques‏‎ (4 links)
  479. Knowledge Assessment‏‎ (4 links)
  480. Ireland.64.Decision support techniques‏‎ (4 links)
  481. Chile.122.Decision support techniques‏‎ (4 links)
  482. Conifer Timber Quality Model‏‎ (4 links)
  483. Germany.72.Decision support techniques‏‎ (4 links)
  484. Ireland.3.Decision support techniques‏‎ (4 links)
  485. Croatia‏‎ (4 links)
  486. Germany.122.Decision support techniques‏‎ (4 links)
  487. Liechtenstein‏‎ (4 links)
  488. Effects of data quality‏‎ (4 links)
  489. Greece.69.Decision support techniques‏‎ (4 links)
  490. Form:Organization‏‎ (4 links)
  491. Hungary.2.Decision support techniques‏‎ (4 links)
  492. Multi-access system for experts / owners‏‎ (4 links)
  493. Brazil.44.Decision support techniques‏‎ (4 links)
  494. Chile.84.Decision support techniques‏‎ (4 links)
  495. Other iterative and incremental development‏‎ (4 links)
  496. Hungary.17.Decision support techniques‏‎ (4 links)
  497. Chile.108.Decision support techniques‏‎ (4 links)
  498. Hungary.115.Decision support techniques‏‎ (4 links)
  499. Hungary.37.Decision support techniques‏‎ (4 links)
  500. Hungary.66.Decision support techniques‏‎ (4 links)

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