Atjaunināt sīkdatņu piekrišanu

E-grāmata: Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications

Citas grāmatas par šo tēmu:
  • Formāts - EPUB+DRM
  • Cena: 106,47 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book introduces readers to the latest advances in and approaches to intuitionistic fuzzy decision-making methods. To do so, it explores a range of applications to practical decision-making problems, together with representative case studies. Examining a host of decision-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision-making methods in the intuitionistic fuzzy environment. Chiefly intended for practitioners and researchers working in the areas of risk management, decision-making under uncertainty, and operational research, the book can also be used as supplementary material for graduate and senior undergraduate courses in these areas.
Introduction.- Decision Making Method Based on Distance Measure and
Similarity Measure.- Dynamic Decision Making Method Based on The
Intuitionistic Fuzzy Bayesian Network.- Novel Intuitionistic Fuzzy Decision
Making Models in The Framework of Decision Field Theory.- Decision Making
Method Under Probabilistic and Cognitive Environment.- Appendix. 
Zhinan Hao received the Ph.D. degree in computer science and technology from Army Engineering University of PLA, Nanjing, China, in 2018. He has contributed 4 journal articles to professional journals, and his current research interests include decision making and fuzzy sets. Zeshui Xu received the Ph.D. degree in management science and engineering from Southeast University, Nanjing, China, in 2003. He is a Distinguished Young Scholar of the National Natural Science Foundation of China and the Chang Jiang Scholars of the Ministry of Education of China. He is currently a Professor with Business School, Sichuan University, Chengdu, China. He has contributed more than 450 journal articles to professional journals, and his current research interests include information fusion, decision making, and fuzzy sets.

Hua Zhao received the Ph.D. degree in military operation research from PLA University of Science and Technology, Nanjing, China, in 2011. She is currently an Associated Professor with Department of General Education, Army Engineering University of PLA, Nanjing, China. She has contributed more than 30 journal articles to professional journals, and her current research interests include clustering analysis, decision making and fuzzy sets.