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| 710 | 2 |
_aSpringerLink (Online service) _9106996 |
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_c111433 _d111433 _x1 |
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| 001 | 111433 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113511.0 | ||
| 008 | 190513s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030157227 | ||
| 024 | 7 |
_a10.1007/978-3-030-15722-7 _2doi |
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| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aQA248.5 _b2019 EB |
|
| 100 | 1 |
_aGhosh, Debdas _eautor _9671056 |
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| 245 | 1 | 3 |
_aAn introduction to analytical fuzzy plane geometry _cby Debdas Ghosh, Debjani Chakraborty |
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2019 |
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| 300 |
_a1 recurso en línea (XIII, 206 páginas) _b53 ilustraciones |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aStudies in Fuzziness and Soft Computing _x1434-9922 _v381 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (Springer-42732) | |
| 505 | 0 | _aIntroduction -- Basic ideas on fuzzy plane geometry I -- Fuzzy line -- Fuzzy triangle and fuzzy trigonometry -- Fuzzy Circle -- Fuzzy Parabola -- Fuzzy Pareto-optimality -- Concluding Remarks and Future Directions. | |
| 520 | 3 | _aThis book offers a rigorous mathematical analysis of fuzzy geometrical ideas. It demonstrates the use of fuzzy points for interpreting an imprecise location and for representing an imprecise line by a fuzzy line. Further, it shows that a fuzzy circle can be used to represent a circle when its description is not known precisely, and that fuzzy conic sections can be used to describe imprecise conic sections. Moreover, it discusses fundamental notions on fuzzy geometry, including the concepts of fuzzy line segment and fuzzy distance, as well as key fuzzy operations, and includes several diagrams and numerical illustrations to make the topic more understandable. The book fills an important gap in the literature, providing the first comprehensive reference guide on the fuzzy mathematics of imprecise image subsets and imprecise geometrical objects. Mainly intended for researchers active in fuzzy optimization, it also includes chapters relevant for those working on fuzzy image processing and pattern recognition. Furthermore, it is a valuable resource for beginners interested in basic operations on fuzzy numbers, and can be used in university courses on fuzzy geometry, dealing with imprecise locations, imprecise lines, imprecise circles, and imprecise conic sections. | |
| 988 | _aPrimersemestre_2019_Robotics | ||
| 650 | 7 |
_2embne _aConjuntos difusos _9145903 |
|
| 650 | 7 |
_2embne _9139244 _aGeometría analítica |
|
| 650 | 7 |
_2embne _aMatemáticas _9405008 |
|
| 700 | 1 |
_aChakraborty, Debjani. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030157210 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030157234 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030157241 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-15722-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b10/2019 _eel _zSI |
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