Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Information distribution method relevant in fuzzy reasoning
Fuzzy Sets and Systems - Fuzzy information processing
Fuzzy subsets of the space of probability measures and expected value of fuzzy variable
Fuzzy Sets and Systems
On fuzzy random linear programming
Fuzzy Sets and Systems
Statistical tests for fuzzy data
Fuzzy Sets and Systems
Principle of information diffusion
Fuzzy Sets and Systems
Demonstration of benefit of information distribution for probability estimation
Signal Processing - Special issue on fuzzy logic in signal processing
A fuzzy risk model and its matrix algorithm
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Soft risk maps of natural disasters and their applications to decision-making
Information Sciences: an International Journal
Possibilistic mean-variance models and efficient frontiers for portfolio selection problem
Information Sciences: an International Journal
Mathematics and Computers in Simulation
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Fuzzy logic-based generalized decision theory with imperfect information
Information Sciences: an International Journal
Atanassov's intuitionistic fuzzy probability and Markov chains
Knowledge-Based Systems
Some new results on value ranges of risks for mean-variance portfolio models
Information Sciences: an International Journal
Hybrid Kansei-SOM model using risk management and company assessment for stock trading
Information Sciences: an International Journal
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In this paper, we use the interior-outer-set model to calculate the risk of crop flood and order farming alternatives for Huarong County, China, where only a small sample of eight observations is available. Any risk assessment from the data must be imprecise. The risk calculated by this suggested model is a particular case among imprecise probabilities, called possibility-probability distribution. We discuss in detail how to order alternatives based on a possibility-probability distribution. The result shows, aside subjective assessment, the fuzzy risk can also be calculated. The comparison shows that the ordering based on a calculated fuzzy risk is better than one based on a histogram estimate.