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Your search keyword '"Cai, Zhi-Jian"' showing total 7 results
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7 results on '"Cai, Zhi-Jian"'

5. A Priority Method Based on Induced Trapezoidal Fuzzy Ordered Weighted Averaging (ITFOWA) Operator for Fuzzy Linguistic Decision-Making Problems

Author

Xu Ye-jun and Cai Zhi-jian

Subjects
Mathematical optimization, Fuzzy classification, business.industry, Machine learning, computer.software_genre, Type-2 fuzzy sets and systems, Defuzzification, Fuzzy logic, Fuzzy mathematics, Fuzzy set operations, Fuzzy number, Fuzzy associative matrix, Artificial intelligence, business, computer, Mathematics
Abstract

In this paper, we present a fuzzy linguistic scale, which is characterized by trapezoidal fuzzy numbers, for the comparison between two alternatives, we introduce a possibility degree formula for comparing trapezoidal fuzzy numbers. We utilize the fuzzy linguistic scale to construct a linguistic preference matrix, and propose an induced trapezoidal fuzzy ordered weighted averaging (ITFOWA) operator to aggregate linguistic preference information. A priority method based on the fuzzy linguistic scale and ITFOWA operator for decision making problems is presented. Finally, an illustrative example is given to verify the developed method and demonstrate its feasibility and practicality.

Published
2007

7. Exosomal long non-coding RNAs: biological properties and therapeutic potential in cancer treatment.

Author

Luo J, Xiong Y, Fu PF, Li EC, Qu L, Fan X, Cai ZJ, and Lin AF

Subjects
Humans, Neoplasms diagnosis, Neoplasms therapy, Exosomes physiology, Neoplasms genetics, RNA, Long Noncoding physiology
Abstract

Exosomes and long non-coding RNAs (lncRNAs) are emerging as important elements contributing to a more comprehensive understanding of cancer development and progression. The discovery of lncRNAs in exosomes further indicates their bona fide biological functional roles in cancer development and drug resistance. In this review, we describe the biogenesis of exosomes and summarize the function of exosomal lncRNAs in the field of cancer research. These findings strikingly advance current knowledge of exosomal lncRNAs and suggest that they may be promising diagnostic biomarkers and therapeutic targets for cancer.

Published
2019
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