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  1. '''1. Defining the problem'''
  2. 1. Defining the problem
  3. 2. Exploring options
  4. 2011-06 Thessaloniki Case Study Notes by Research Phase
  5. 2011-06 Thessaloniki Case Study Notes by WG
  6. 2011-06 Thessaloniki Case Study Notes cross WG
  7. 2011-11 Leuven Case Study Agenda
  8. 3. Evaluating options
  9. 4. Monitoring & evaluation of the process
  10. 4. Monitoring and evaluation of the process
  11. 5. Monitoring and evaluation of the outcome
  12. ACL:Group/Knowledge architect
  13. ACL:Group/Knowledge consumer
  14. ACL:Group/Knowledge provider
  15. ACL:Group/bureaucrat
  16. ACL:Group/sysop
  17. ACL:Template/NewUserTemplate
  18. ACL:Template/QARMT/Private use
  19. ACL:Template/QARMT/Public edit
  20. ACL:Template/QARMT/Public form edit
  21. ACL:Template/QARMT/Public full access
  22. ACL:Template/QARMT/Public read
  23. AFFOREST-sDSS
  24. ALNS - adaptive large neighborhood search
  25. ATestCase
  26. AVVIRK-2000
  27. AVVIRK-2000.Decision support techniques
  28. AVVIRK-2000.Description of DSS development
  29. AVVIRK-2000.Knowledge management process
  30. AVVIRK-2000.Software
  31. AVVIRK-2000.Support of social participation
  32. AWOT
  33. A a test lesson
  34. A financial analysis is an important component in the discussion about the preferences of different
  35. A more informative output should be generated with clear graphs and maps indicating long-term
  36. Actor Network Theory provides a suitable lens for exploring both technical and human aspects of DSS institutionalization in the forestry domain
  37. Ad-hoc
  38. Adapting the software to make it possible to easily include also the output of other mechanistic
  39. Adoption
  40. Afforestion and deforestation options should be included in the management options
  41. Afghanistan
  42. Agent based model
  43. Agflor
  44. Agflor.Decision support techniques
  45. Agflor.Description of DSS development
  46. Agflor.Knowledge management process
  47. Agflor.Software
  48. Agflor.Support of social participation
  49. Agreeing on assumptions
  50. Albania
  51. Algeria
  52. Ali İhsan KADIOĞULLARI
  53. All pages involving software development
  54. Alter
  55. American Samoa
  56. An iterative process of presenting results to subject matter experts enabled them to better
  57. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be
  58. Analysis at the landscape level allowed the integration of concerns about multiple resources as well
  59. Analytical Hierarchy Process (AHP)
  60. Analytical Network Process (ANP)
  61. Andorra
  62. Angola
  63. Anguilla
  64. Antarctica
  65. Antigua and Barbuda
  66. Any optimisation method
  67. Any simulation method
  68. Any statistics method
  69. Appropriate presentation
  70. Architect
  71. Architecture
  72. Argentina
  73. Armenia
  74. Artificial Intelligence
  75. Artificial neural networks
  76. Aruba
  77. As the core of forest DSS are models describing the development of trees and stands (growth and
  78. Australia
  79. Austria
  80. Austria-Improving forestry extension services for small-scale private landowners
  81. Austria.105
  82. Austria.105.Decision support techniques
  83. Austria.105.Knowledge management processes
  84. Austria.105.Social participation
  85. Austria.111
  86. Austria.111.Decision support techniques
  87. Austria.111.Knowledge management processes
  88. Austria.111.Social participation
  89. Austria.19
  90. Austria.19.Decision support techniques
  91. Austria.19.Knowledge management processes
  92. Austria.19.Social participation
  93. Austria.83
  94. Austria.83.Decision support techniques
  95. Austria.83.Knowledge management processes
  96. Austria.83.Social participation
  97. Austria.97
  98. Austria.97.Decision support techniques
  99. Austria.97.Knowledge management processes
  100. Austria.97.Social participation
  101. Azerbaijan
  102. BFH-HAFL
  103. BOKU
  104. Bahrain
  105. Bangladesh
  106. Barbados
  107. Bayesian networks
  108. Bayesian statistics
  109. Belarus
  110. Belgium
  111. Belgium-BoLa a specific sDSS to support land use planning in Flanders
  112. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’
  113. Belize
  114. Benin
  115. Bermuda
  116. Best Practices
  117. Bhutan
  118. Biomasfor allows to obtain information at different spatial scale
  119. Biophysical data
  120. Bolivia
  121. Borda count
  122. Bosnia and Herzegovina
  123. Botswana
  124. Bouvet Island
  125. Brainstorming
  126. Branch and Bound algorithm
  127. Brazil
  128. Brazil-DSS usage at a company combining both short rotation plantations and natural forest management in their operation
  129. Brazil-DSS usage on short rotation eucalyptus pulp wood plantations
  130. Brazil-DSS usage on sustainable natural forest management in the Amazon basin
  131. Brazil-DSS usage on teak plantation
  132. Brazil.31
  133. Brazil.31.Decision support techniques
  134. Brazil.31.Knowledge management processes
  135. Brazil.31.Social participation
  136. Brazil.37
  137. Brazil.37.Decision support techniques
  138. Brazil.37.Knowledge management processes
  139. Brazil.37.Social participation
  140. Brazil.38
  141. Brazil.38.Decision support techniques
  142. Brazil.38.Knowledge management processes
  143. Brazil.38.Social participation
  144. Brazil.44
  145. Brazil.44.Decision support techniques
  146. Brazil.44.Knowledge management processes
  147. Brazil.44.Social participation
  148. British Indian Ocean Territory
  149. British Virgin Islands
  150. Brunei
  151. Bulgaria
  152. Burkina Faso
  153. Burundi
  154. Business models
  155. CEF-ISA
  156. CONES
  157. CONES.Decision support techniques
  158. CONES.Description of DSS development
  159. CONES.Knowledge management process
  160. CONES.Software
  161. CONES.Support of social participation
  162. COST Action FP0804: FORSYS:Community Portal
  163. Cambodia
  164. Cameroon
  165. Canada
  166. Canada.1
  167. Canada.1.Decision support techniques
  168. Canada.1.Knowledge management processes
  169. Canada.1.Social participation
  170. Canada.26
  171. Canada.26.Decision support techniques
  172. Canada.26.Knowledge management processes
  173. Canada.26.Social participation
  174. Canada.31
  175. Canada.31.Decision support techniques
  176. Canada.31.Knowledge management processes
  177. Canada.31.Social participation
  178. Canada.75
  179. Canada.75.Decision support techniques
  180. Canada.75.Knowledge management processes
  181. Canada.75.Social participation
  182. Cape Verde
  183. Capsis
  184. Case-Lesson-WG Themes
  185. Case-Lesson-WG Themes CSV
  186. Case-Lessons by ID with WG themes
  187. Case-Lessons by WG themes counts
  188. Case-Lessons by WG themes matrix
  189. Case-Lessons by WG themes matrix testing
  190. Case-Lessons with WG1 subthemes
  191. Case-Lessons with WG2 subthemes
  192. Case-Lessons with WG3 subthemes
  193. Case-Lessons with WG4 subthemes
  194. Case-WG Themes CSV
  195. Case Lessons by DSS development stage
  196. Case Lessons by actor
  197. Case Lessons indirect
  198. Case Lessons involving knowledge management
  199. Case Lessons involving knowledge management CSV
  200. Case Lessons involving models & methods
  201. Case Lessons involving models & methods CSV
  202. Case Lessons involving participatory planning
  203. Case Lessons involving participatory planning CSV
  204. Case Lessons involving software development
  205. Case Lessons involving software development CSV
  206. Case Studies
  207. Case Studies Analysis
  208. Case Studies Lessons List
  209. Case Studies List
  210. Case Studies List Full
  211. Case Study Committee Workplan
  212. Case Study FAQ
  213. Case Study Guidelines
  214. Case Study Ideas
  215. Case Study Literature DSS
  216. Case Study Literature Methods
  217. Case Study Literature Methods Yin 2003
  218. Case Study Technical Committee
  219. Case Study Template
  220. Case Study Topics for Leuven 2011
  221. Case WG1
  222. Cases-WG Themes
  223. Cases involving software development
  224. Cases involving software development on subform
  225. Cayman Islands
  226. Cellular automata
  227. Central African Republic
  228. Chad
  229. Chile
  230. Chile.108
  231. Chile.108.Decision support techniques
  232. Chile.108.Knowledge management processes
  233. Chile.108.Social participation
  234. Chile.122
  235. Chile.122.Decision support techniques
  236. Chile.122.Knowledge management processes
  237. Chile.122.Social participation
  238. Chile.124
  239. Chile.124.Decision support techniques
  240. Chile.124.Knowledge management processes
  241. Chile.124.Social participation
  242. Chile.39
  243. Chile.39.Decision support techniques
  244. Chile.39.Knowledge management processes
  245. Chile.39.Social participation
  246. Chile.65
  247. Chile.65.Decision support techniques
  248. Chile.65.Knowledge management processes
  249. Chile.65.Social participation
  250. Chile.84
  251. Chile.84.Decision support techniques
  252. Chile.84.Knowledge management processes
  253. Chile.84.Social participation
  254. Chile.93
  255. Chile.93.Decision support techniques
  256. Chile.93.Knowledge management processes
  257. Chile.93.Social participation
  258. China
  259. China.100
  260. China.100.Decision support techniques
  261. China.100.Knowledge management processes
  262. China.100.Social participation
  263. China.106
  264. China.106.Decision support techniques
  265. China.106.Knowledge management processes
  266. China.106.Social participation
  267. China.40
  268. China.40.Decision support techniques
  269. China.40.Knowledge management processes
  270. China.40.Social participation
  271. China.43
  272. China.43.Decision support techniques
  273. China.43.Knowledge management processes
  274. China.43.Social participation
  275. China.60
  276. China.60.Decision support techniques
  277. China.60.Knowledge management processes
  278. China.60.Social participation
  279. Chosing of DSS
  280. Christmas Island
  281. Classical statistics
  282. Classification of Knowledge Management tools
  283. ClimChAlp
  284. ClimChAlp.Decision support techniques
  285. ClimChAlp.Description of DSS development
  286. ClimChAlp.Knowledge management process
  287. ClimChAlp.Software
  288. ClimChAlp.Support of social participation
  289. Climate change
  290. Climate data
  291. CoPWorkingGroup
  292. Cocos (Keeling) Islands
  293. Code testing
  294. Cognitive mapping
  295. Colombia
  296. Combo box vs. multiple values (Has other models)
  297. Community of Practice
  298. Comoros
  299. Compromise programming (CP)
  300. Congo
  301. Conifer Timber Quality
  302. Consistency
  303. Contry Report Category
  304. Convex programming
  305. Cook Islands
  306. Cost benefit analysis
  307. Costa Rica
  308. Criterium DecisionPlus
  309. Croatia
  310. Cuba
  311. Cyprus
  312. Czech Republic
  313. Côte d'Ivoire
  314. DSD
  315. DSD.Decision support techniques
  316. DSD.Description of DSS development
  317. DSD.Knowledge management process
  318. DSD.Software
  319. DSD.Support of social participation
  320. DSS-WuK
  321. DSS allowed to explain better some technical concepts to non-professional stakeholders
  322. DSS architecture and design
  323. DSS architecture and design Workplan 2013
  324. DSS can help in varying the treatment according to more than one forest function
  325. DSS description Handbook
  326. DSS for ecosystem services
  327. DSS for managing forest fire casualties
  328. DSS helped document and apply decision criteria consistently, and therefore produced a more
  329. DTRAN
  330. Data and data management
  331. Data on policies and funding
  332. Database
  333. Decision analyst
  334. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic
  335. Decision maker
  336. Defining the problem
  337. Democratic Republic of the Congo
  338. Denmark
  339. Denmark.36
  340. Denmark.36.Decision support techniques
  341. Denmark.36.Knowledge management processes
  342. Denmark.36.Social participation
  343. Denmark.46
  344. Denmark.46.Decision support techniques
  345. Denmark.46.Knowledge management processes
  346. Denmark.46.Social participation
  347. Denmark.5
  348. Denmark.5.Decision support techniques
  349. Denmark.5.Knowledge management processes
  350. Denmark.5.Social participation
  351. Denmark.67
  352. Denmark.67.Decision support techniques
  353. Denmark.67.Knowledge management processes
  354. Denmark.67.Social participation
  355. Denmark.71
  356. Denmark.71.Decision support techniques
  357. Denmark.71.Knowledge management processes
  358. Denmark.71.Social participation
  359. Denmark.75
  360. Denmark.75.Decision support techniques
  361. Denmark.75.Knowledge management processes
  362. Denmark.75.Social participation
  363. Design
  364. Despite the widely use and acceptance of the DSS there was still a lack of expertise to
  365. Developer/Architect
  366. Development
  367. Differential evolution
  368. Direct point allocation
  369. Disjunctive programming
  370. Dissemination
  371. Djibouti
  372. Documentation and training
  373. Dominica
  374. Dominican Republic
  375. Dynamic programming
  376. EFIMOD
  377. EFIMOD.Decision support techniques
  378. EFIMOD.Description of DSS development
  379. EFIMOD.Knowledge management process
  380. EFIMOD.Software
  381. EFIMOD.Support of social participation
  382. EFISCEN
  383. EFISCEN.Decision support techniques
  384. EFISCEN.Description of DSS development
  385. EFISCEN.Knowledge management process
  386. EFISCEN.Software
  387. EFISCEN.Support of social participation
  388. EMDS
  389. EMDS.Decision support techniques
  390. EMDS.Description of DSS development
  391. EMDS.Knowledge management process
  392. EMDS.Software
  393. EMDS.Support of social participation
  394. EMDS.nwfp
  395. EMIS
  396. ESC
  397. ETÇAP
  398. ETÇAP.Decision support techniques
  399. ETÇAP.Description of DSS development
  400. ETÇAP.Software
  401. ETÇAP.mushroom
  402. East Timor
  403. EcologicalSiteClassification
  404. EcologicalSiteClassification.Decision support techniques
  405. EcologicalSiteClassification.Description of DSS development
  406. EcologicalSiteClassification.Knowledge management process
  407. Ecological data
  408. Ecological models
  409. Ecuador
  410. Egypt
  411. Eis.4
  412. El Salvador
  413. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the
  414. Emin Zeki BAŞKENT
  415. Empirical
  416. Enabling the analyses of several ecosystem services
  417. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the
  418. End user engagement throughout the development and deployment cycle is very important
  419. EnerTree
  420. Enlarge the decision space by generating a large set of potential management alternatives
  421. Enlarged decision space
  422. Enterprise architecture for system design
  423. Equatorial Guinea
  424. Eritrea
  425. Error handling and recovery
  426. Estonia.102
  427. Estonia.102.Decision support techniques
  428. Estonia.102.Knowledge management processes
  429. Estonia.102.Social participation
  430. Estonia.124
  431. Estonia.124.Decision support techniques
  432. Estonia.124.Knowledge management processes
  433. Estonia.124.Social participation
  434. Estonia.25
  435. Estonia.25.Decision support techniques
  436. Estonia.25.Knowledge management processes
  437. Estonia.25.Social participation
  438. Estonia.50
  439. Estonia.50.Decision support techniques
  440. Estonia.50.Knowledge management processes
  441. Estonia.50.Social participation
  442. Estonia.76
  443. Estonia.76.Decision support techniques
  444. Estonia.76.Knowledge management processes
  445. Estonia.76.Social participation
  446. Estonia.77
  447. Estonia.77.Decision support techniques
  448. Estonia.77.Knowledge management processes
  449. Estonia.77.Social participation
  450. Estonia.86
  451. Estonia.86.Decision support techniques
  452. Estonia.86.Knowledge management processes
  453. Estonia.86.Social participation
  454. Estonia (Country Report)
  455. Ethiopia
  456. European Forest Institute (EFI)
  457. Evaluating options
  458. Evaluation of forest development scenario
  459. Evaluation of forest protective functions
  460. Evaluation of the operational environment
  461. Evolution strategy
  462. Example DSS
  463. Example concept
  464. Example inline query
  465. Exchanging Information
  466. Expert System
  467. Expert system
  468. Exploring options
  469. FFIREDESSYS
  470. FMPP
  471. FMPP.Decision support techniques
  472. FMPP.Description of DSS development
  473. FMPP.Knowledge management process
  474. FMPP.Software
  475. FMPP.Support of social participation
  476. FORESTAR
  477. FORFUN
  478. FORFUN.Decision support techniques
  479. FORFUN.Description of DSS development
  480. FORFUN.Knowledge management process
  481. FORFUN.Software
  482. FORFUN.Support of social participation
  483. FORSYS FAQ
  484. FORSYS Problem dimensions - necessary or not for Lesson
  485. FORSYS problem types
  486. FVS
  487. Facilitator
  488. Faeroe Islands
  489. Falkland Islands
  490. Fiji
  491. Finland
  492. Finland-Integrating wood quality considerations in landscape-level forest planning
  493. Finland-Strategic planning at the national forest administration
  494. Finland.1
  495. Finland.1.Decision support techniques
  496. Finland.1.Knowledge management processes
  497. Finland.1.Social participation
  498. Finland.122
  499. Finland.122.Decision support techniques
  500. Finland.122.Knowledge management processes

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