Mohlo by se vám také líbit

Informovat o naskladnění knihy

Více informací o knize Granularities-Driven Hesitant Fuzzy Linguistic Decision Making

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 476 bodů

Anotace knihy

This book introduces a state-of-the-art extension of fuzzy sets that is hesitant fuzzy linguistic term sets with granularity levels, and based on the fuzzy technique, several granularities-driven hesitant fuzzy linguistic decision-making methods are introduced to provide powerful tools to solve actual problems. Motivated from the idea of granular computing, the technique of hesitant fuzzy linguistic term sets with granularity levels is constructed, which not only brings flexibility and individuality for the linguistic model, but also provides a possibility to process a large amount of linguistic information in group decision-making efficiently and accurately. Thus, the researches on granularities-driven hesitant fuzzy linguistic decision making, can provide an effective way to solve practical decision-making problems based on complex linguistic information, and enrich the research system of decision-making and granular computing in theory and practice.In specific, this book introduces the construction of hesitant fuzzy linguistic term sets with granularity levels, and methods of handling attribute dependence, attribute reduction, single-objective group decision-making, and bi-objective group decision-making. The above decision-making methods are applied to the evaluation of medical and health management, and the effectiveness and advantages of the methods are verified by simulation comparison and analysis. Therefore, this book has not only important theoretical significance, but also broad application prospects.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Granularities-Driven Hesitant Fuzzy Linguistic Decision Making
• Autor: Yuanhang Zheng, Zeshui Xu
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 222
• EAN: 9783031603495
• ID: 45727529
• Nakladatelství: Springer, Berlin
• Rozměry: 235 × 155 mm
• Datum vydání: 11. October 2024

---

---

---