This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.

Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments (Studies in Fuzziness and Soft Computing, 376)

Business & Money

Xu, Zeshui

Zhou, Wei

Finance

Springer

Android embedded development and training(Chinese Edition)

电子工业出版社

Research on the Allocation Efficiency Evaluations of the Provincial Scientific Resources(Chinese Edition)

University of Science and Technology of China Press

Experience from Nature and Sketch from Landscape

Liaoning Fine Arts Publishing House; 1 (January 1

Mi ren di Xizang (Zhonghua zi sun cong shu) (Mandarin Chinese Edition)

Bai jia chu ban she

The Border Effect in High-Precision Measurement

Computers & Technology

Li, Zhiqi

Bai, Lina

Fu, Xiaoning

Qu, Bayi

Miao, Miao

Computer Science

This book focuses on validation and reconstruction work on the land surface temperature (LST) products retrieved by thermal infrared remote sensing. The LST is a key parameter in the energy-water balance process and has been widely used in research on the global climate change, water cycle, vegetation growing, and drought detection. Remote sensing retrieving LST is the most important source for regional and even global application. However, there are several factors that limited their widespread use: (1) the thermal infrared remote sensing is easily influenced by clouds; therefore, there are lots of pixel with invalid LST; (2) LST products have not been sufficiently validated in global scale. This book arms to overcome above defects and guide the readers to estimate the LST of cloudy pixel and implement the general validation on the remote sensing LST. Furthermore, it helps to understand the scale mismatch between different observation and land surface heterogeneity. The book covers ground-based observation, validation and reconstruction theories, scale mismatch analysis, heterogeneity and representativeness evaluation for observations, and application cases. It is an essential reference to the quantitative retrieval of thermal infrared remote sensing technologies. &nbsp;

Validation and Reconstruction of Remote Sensing Land Surface Temperature Products

Science & Math

Fan Lei

Yu, Wenping

Li, Yuechen

Han, Xujun

Ma, Mingguo

Shi, Weiyu

Biological Sciences

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