Fuzzy Graphs and Fuzzy Hypergraphs:
In the course of fuzzy technological development, fuzzy graph theory was identified quite early on for its importance in making things work. Two very important and useful concepts are those of granularity and of nonlinear ap proximations. The concept of granularity has evolved as a cornerstone of L...
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| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2000
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
46 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | In the course of fuzzy technological development, fuzzy graph theory was identified quite early on for its importance in making things work. Two very important and useful concepts are those of granularity and of nonlinear ap proximations. The concept of granularity has evolved as a cornerstone of Lotfi A.Zadeh's theory of perception, while the concept of nonlinear approx imation is the driving force behind the success of the consumer electronics products manufacturing. It is fair to say fuzzy graph theory paved the way for engineers to build many rule-based expert systems. In the open literature, there are many papers written on the subject of fuzzy graph theory. However, there are relatively books available on the very same topic. Professors' Mordeson and Nair have made a real contribution in putting together a very com prehensive book on fuzzy graphs and fuzzy hypergraphs. In particular, the discussion on hypergraphs certainly is an innovative idea. For an experienced engineer who has spent a great deal of time in the lab oratory, it is usually a good idea to revisit the theory. Professors Mordeson and Nair have created such a volume which enables engineers and design ers to benefit from referencing in one place. In addition, this volume is a testament to the numerous contributions Professor John N. Mordeson and his associates have made to the mathematical studies in so many different topics of fuzzy mathematics |
| Beschreibung: | 1 Online-Ressource (XIII, 250 p) |
| ISBN: | 9783790818543 |
| DOI: | 10.1007/978-3-7908-1854-3 |
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| 520 | |a In the course of fuzzy technological development, fuzzy graph theory was identified quite early on for its importance in making things work. Two very important and useful concepts are those of granularity and of nonlinear ap proximations. The concept of granularity has evolved as a cornerstone of Lotfi A.Zadeh's theory of perception, while the concept of nonlinear approx imation is the driving force behind the success of the consumer electronics products manufacturing. It is fair to say fuzzy graph theory paved the way for engineers to build many rule-based expert systems. In the open literature, there are many papers written on the subject of fuzzy graph theory. However, there are relatively books available on the very same topic. Professors' Mordeson and Nair have made a real contribution in putting together a very com prehensive book on fuzzy graphs and fuzzy hypergraphs. In particular, the discussion on hypergraphs certainly is an innovative idea. For an experienced engineer who has spent a great deal of time in the lab oratory, it is usually a good idea to revisit the theory. Professors Mordeson and Nair have created such a volume which enables engineers and design ers to benefit from referencing in one place. In addition, this volume is a testament to the numerous contributions Professor John N. Mordeson and his associates have made to the mathematical studies in so many different topics of fuzzy mathematics | ||
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| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790818543 |
| language | English |
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| spelling | Fuzzy Graphs and Fuzzy Hypergraphs edited by John N. Mordeson, Premchand S. Nair Heidelberg Physica-Verlag HD 2000 1 Online-Ressource (XIII, 250 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 46 In the course of fuzzy technological development, fuzzy graph theory was identified quite early on for its importance in making things work. Two very important and useful concepts are those of granularity and of nonlinear ap proximations. The concept of granularity has evolved as a cornerstone of Lotfi A.Zadeh's theory of perception, while the concept of nonlinear approx imation is the driving force behind the success of the consumer electronics products manufacturing. It is fair to say fuzzy graph theory paved the way for engineers to build many rule-based expert systems. In the open literature, there are many papers written on the subject of fuzzy graph theory. However, there are relatively books available on the very same topic. Professors' Mordeson and Nair have made a real contribution in putting together a very com prehensive book on fuzzy graphs and fuzzy hypergraphs. In particular, the discussion on hypergraphs certainly is an innovative idea. For an experienced engineer who has spent a great deal of time in the lab oratory, it is usually a good idea to revisit the theory. Professors Mordeson and Nair have created such a volume which enables engineers and design ers to benefit from referencing in one place. In addition, this volume is a testament to the numerous contributions Professor John N. Mordeson and his associates have made to the mathematical studies in so many different topics of fuzzy mathematics Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Combinatorics Mathematics of Computing IT in Business Information technology Business / Data processing Data structures (Computer science) Computer science / Mathematics Artificial intelligence Discrete mathematics Fuzzy-Graph (DE-588)4608511-7 gnd rswk-swf Fuzzy-Hypergraph (DE-588)4608506-3 gnd rswk-swf Fuzzy-Graph (DE-588)4608511-7 s 1\p DE-604 Fuzzy-Hypergraph (DE-588)4608506-3 s 2\p DE-604 Mordeson, John N. edt Nair, Premchand S. edt Erscheint auch als Druck-Ausgabe 9783790824711 https://doi.org/10.1007/978-3-7908-1854-3 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Fuzzy Graphs and Fuzzy Hypergraphs Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Combinatorics Mathematics of Computing IT in Business Information technology Business / Data processing Data structures (Computer science) Computer science / Mathematics Artificial intelligence Discrete mathematics Fuzzy-Graph (DE-588)4608511-7 gnd Fuzzy-Hypergraph (DE-588)4608506-3 gnd |
| subject_GND | (DE-588)4608511-7 (DE-588)4608506-3 |
| title | Fuzzy Graphs and Fuzzy Hypergraphs |
| title_auth | Fuzzy Graphs and Fuzzy Hypergraphs |
| title_exact_search | Fuzzy Graphs and Fuzzy Hypergraphs |
| title_full | Fuzzy Graphs and Fuzzy Hypergraphs edited by John N. Mordeson, Premchand S. Nair |
| title_fullStr | Fuzzy Graphs and Fuzzy Hypergraphs edited by John N. Mordeson, Premchand S. Nair |
| title_full_unstemmed | Fuzzy Graphs and Fuzzy Hypergraphs edited by John N. Mordeson, Premchand S. Nair |
| title_short | Fuzzy Graphs and Fuzzy Hypergraphs |
| title_sort | fuzzy graphs and fuzzy hypergraphs |
| topic | Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Combinatorics Mathematics of Computing IT in Business Information technology Business / Data processing Data structures (Computer science) Computer science / Mathematics Artificial intelligence Discrete mathematics Fuzzy-Graph (DE-588)4608511-7 gnd Fuzzy-Hypergraph (DE-588)4608506-3 gnd |
| topic_facet | Mathematics Discrete Mathematics Artificial Intelligence (incl. Robotics) Data Structures, Cryptology and Information Theory Combinatorics Mathematics of Computing IT in Business Information technology Business / Data processing Data structures (Computer science) Computer science / Mathematics Artificial intelligence Discrete mathematics Fuzzy-Graph Fuzzy-Hypergraph |
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