標(biāo)題: Titlebook: Applying Soft Computing in Defining Spatial Relations; Pascal Matsakis,Les M. Sztandera Book 2002 Springer-Verlag Berlin Heidelberg 2002 C [打印本頁] 作者: Concave 時間: 2025-3-21 17:08
書目名稱Applying Soft Computing in Defining Spatial Relations影響因子(影響力)
書目名稱Applying Soft Computing in Defining Spatial Relations影響因子(影響力)學(xué)科排名
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書目名稱Applying Soft Computing in Defining Spatial Relations網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Applying Soft Computing in Defining Spatial Relations被引頻次
書目名稱Applying Soft Computing in Defining Spatial Relations被引頻次學(xué)科排名
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書目名稱Applying Soft Computing in Defining Spatial Relations年度引用學(xué)科排名
書目名稱Applying Soft Computing in Defining Spatial Relations讀者反饋
書目名稱Applying Soft Computing in Defining Spatial Relations讀者反饋學(xué)科排名
作者: 珍奇 時間: 2025-3-21 21:16
https://doi.org/10.1007/978-3-322-88448-0s to project the fuzzy subsets onto two orthogonal coordinate axes and to utilize fuzzy set theoretic dominance relations to capture the approximate relationships. Simulation results are provided to corroborate the theory.作者: 搬運工 時間: 2025-3-22 02:16 作者: grieve 時間: 2025-3-22 08:24 作者: 燒烤 時間: 2025-3-22 10:14 作者: Evolve 時間: 2025-3-22 13:18
Understanding the Spatial Organization of Image Regions by Means of Force Histograms: A Guided Tourd by fuzzy relations. They can also be used for scene description, where relative positions are represented by linguistic expressions. This chapter reviews and classifies work on the histogram of forces. It touches topics as varied as human-robot communication and spatial indexing mechanisms for medical image databases.作者: 制定法律 時間: 2025-3-22 17:11 作者: 高原 時間: 2025-3-23 01:06
Path Composition of Positional Relations Integrating Qualitative and Fuzzy Knowledge,ional relations, that is, the composition of two relations, if iterated over a path of several intermediate positions, introduces too much indeterminacy in the result. If the algorithms for composition take into account fuzzy knowledge, the latter effect is considerably reduced, obtaining an indication of the degree of likelihood of the result.作者: Retrieval 時間: 2025-3-23 04:20 作者: 遺產(chǎn) 時間: 2025-3-23 09:18 作者: Mets552 時間: 2025-3-23 12:34 作者: 碎石頭 時間: 2025-3-23 15:49 作者: cajole 時間: 2025-3-23 20:43 作者: aerobic 時間: 2025-3-24 01:31
Mathematical Morphology and Spatial Relationships: Quantitative, Semi-Quantitative and Symbolic Setqualitative one, for reasoning in a logical framework about space. This is made possible thanks to the strong algebraic structure of mathematical morphology, that finds equivalents in set theoretical terms, fuzzy operations and logical expressions.作者: Bmd955 時間: 2025-3-24 04:36 作者: Picks-Disease 時間: 2025-3-24 08:24 作者: verdict 時間: 2025-3-24 11:38
,In the Face of Francis I’s Foreign policy,fuzzy spatial relations in modeling movement behavior primarily associated with foraging is demonstrated. It is shown that spatially explicit ecological modeling is a complex domain rich in the potential for intelligent applications using fuzzy spatial relations作者: Flagging 時間: 2025-3-24 16:49
https://doi.org/10.1007/978-3-030-79860-4iness of approximate linguistic terms. Then a fuzzy set model of three approximate linguistic terms, ‘a(chǎn) little bit,’ ‘somewhat,’ and ‘nearly completely,’ is presented. A discussion of possible further research is followed by a summary at the end of the chapter.作者: ORBIT 時間: 2025-3-24 19:34
Fuzzifying Spatial Relations, formalisms have been developed that deal with space on the basis of relations between objects. Although most approaches provide some algorithms to reason about such relations, they usually do not make any attempt to address questions like how to handle imprecision in spatial relations or how to com作者: Collar 時間: 2025-3-24 23:40 作者: Medicaid 時間: 2025-3-25 05:09
A Fuzzy Set Model of Approximate Linguistic Terms in Descriptions of Binary Topological Relations Biness of approximate linguistic terms. Then a fuzzy set model of three approximate linguistic terms, ‘a(chǎn) little bit,’ ‘somewhat,’ and ‘nearly completely,’ is presented. A discussion of possible further research is followed by a summary at the end of the chapter.作者: 上釉彩 時間: 2025-3-25 09:44 作者: 陳舊 時間: 2025-3-25 15:01
https://doi.org/10.1007/978-3-7908-1752-2Constraint Satisfaction; Extension; Geoinformationssysteme; algorithms; fuzzy; fuzzy control; geographic d作者: 推測 時間: 2025-3-25 17:11
978-3-662-00294-0Springer-Verlag Berlin Heidelberg 2002作者: employor 時間: 2025-3-25 23:54
Manfred Sch?tzke,Udo Ritterbachn, but also does it structure all our activities and relationships with the external world. Space serves as the basis for many metaphors, including temporal metaphors. It is inherently more complex than time, because it is multidimensional and epistemologically multiple..The way humans often deal wi作者: heterodox 時間: 2025-3-26 01:06
Manfred Sch?tzke,Udo Ritterbach concerns the degree of likelihood with which a qualitative spatial relation can be mapped to a geometric counterpart. In this chapter, we argue that the integration of fuzzy knowledge into qualitative models allows us more effective spatial reasoning. In fact, the basic step of reasoning with posit作者: 睨視 時間: 2025-3-26 05:15 作者: gentle 時間: 2025-3-26 10:22 作者: 埋葬 時間: 2025-3-26 15:40
Epigramma Erasmi in Merspvrgvm, quantitative representation of the relative position between two objects—constitutes a powerful tool dedicated to this task. It encapsulates structural information about the objects as well as information about their spatial relationships. Moreover, it offers solid theoretical guarantees and nice g作者: cleaver 時間: 2025-3-26 17:49 作者: epidermis 時間: 2025-3-26 23:36 作者: NATAL 時間: 2025-3-27 03:05
https://doi.org/10.1007/978-3-030-79860-4stic terms to describe spatial objects and spatial relations. For instance, in “The flash flood in October of 1988 nearly completely flooded downtown San Marcos,” the term “nearly completely” is approximate in nature. The second type of fuzziness is due to the indeterminate nature of the boundaries 作者: gastritis 時間: 2025-3-27 07:32
Pascal Matsakis,Les M. SztanderaIncludes supplementary material: 作者: hauteur 時間: 2025-3-27 12:29
Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/b/image/160268.jpg作者: Crepitus 時間: 2025-3-27 13:55
Fuzzifying Spatial Relations,n, but also does it structure all our activities and relationships with the external world. Space serves as the basis for many metaphors, including temporal metaphors. It is inherently more complex than time, because it is multidimensional and epistemologically multiple..The way humans often deal wi作者: 精確 時間: 2025-3-27 19:02 作者: GULP 時間: 2025-3-28 00:06
Spatial Relations Based on Dominance of Fuzzy Sets, between two objects, for example “B is to the right of A,” or “B is in front of A,” but this has turned out to be a somewhat illusive task for automation. When the objects in a scene are represented by crisp sets, the all-or-nothing definitions of the subsets actually add to the problem of generati作者: ironic 時間: 2025-3-28 03:56
Mathematical Morphology and Spatial Relationships: Quantitative, Semi-Quantitative and Symbolic Setso deals with more global and structural information since several spatial relationships can be expressed in terms of morphological operations (mainly dilations). The aim of this paper is to show that this framework allows to represent in a unified way spatial relationships in various settings: a pu作者: leniency 時間: 2025-3-28 06:35 作者: patriarch 時間: 2025-3-28 14:04 作者: 思考而得 時間: 2025-3-28 17:14
Using Fuzzy Spatial Relations to Control Movement Behavior of Mobile Objects in Spatially Explicit rmation system (GIS) data to object representations of individual mobile animals. It is used to organize a discourse on the incorporation of fuzzy logic into spatially explicit, individual-based ecological models of animal movement across a landscape of habitat. Spatial relations such as proximity, 作者: Isolate 時間: 2025-3-28 22:20
