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In this paper, we consider the model that the information on the rewards in vector-valued Markov decision processes includes imprecision or ambiguity. The fuzzy reward model is analyzed as follows: The fuzzy reward is represented by the fuzzy set on the multi-dimensional Euclidian space R p and the infinite horizon fuzzy expected discounted reward(FEDR)… (More)

- Y. Yoshida, M. Yasuda, J. Nakagami, M. Kurano
- 2000

In a stochastic and fuzzy environment, two kinds of stopping models are discussed and compared. The optimal fuzzy stopping times are given under the assumptions of monotonicity and regularity for stopping rules. Also, we find that fuzzy stopping times are favored in a comparison between fuzzy and classical stopping models. ᮊ 2000 Academic Press

- Kunihiko Yamauchi, Masami Yasuda
- Cancer
- 2002

BACKGROUND
The purpose of this study was to reveal the clinical characteristics of nonleukemic granulocytic sarcoma (GS) and an association between the therapeutic regimens and the nonleukemic period.
METHOD
Clinical records of 2 patients reported here and 72 patients gathered using a literature search on Medline from other institutions were analyzed. The… (More)

- Yoshinobu Kadota, Masami Kurano, Masami Yasuda
- Computers & Mathematics with Applications
- 2006

We consider utility-constrained Markov decision processes. The expected utility of the total discounted reward is maximized subject to multiple expected utility constraints. By introducing a corresponding Lagrange function, a saddle-point theorem of the utility constrained optimization is derived. The existence of a constrained optimal policy is… (More)

- Masami Kurano, Masami Yasuda, Jun-ichi Nakagami, Yuji Yoshida
- Fuzzy Sets and Systems
- 2006

In this paper, a Markov decision model with uncertain transition matrices, which allow a matrix to fluctuate at each step in time, is described by the use of fuzzy sets. We find a pareto optimal policy maximizing the infinite horizon fuzzy expected discounted reward over all stationary policies under some partial order. The pareto optimal policies are… (More)

- Jun Li, Masami Yasuda, Qingshan Jiang, Hisakichi Suzuki, Zhenyuan Wang, George J. Klir
- Fuzzy Sets and Systems
- 1997

- M. Kurano, Masami Yasuda, J. Nakagami
- 1999

In this paper, the average cases of Markov decision processes with uncertainty is considered. That is, a controlled Markov set-chain model with a finite state and action space is developed by an interval arithmetic analysis, and we will find a Pareto optimal policy which maximizes the average expected rewards over all stationary policies under a new partial… (More)

- Yoshiaki Nakajima, Hajime Inaba, +8 authors Feng-Lei Hong
- Optics express
- 2010

We demonstrate that fiber-based frequency combs with multi-branch configurations can transfer both linewidth and frequency stability to another wavelength at the millihertz level. An intra-cavity electro-optic modulator is employed to obtain a broad servo bandwidth for repetition rate control. We investigate the relative linewidths between two combs using a… (More)

- Jun Li, Masami Yasuda
- Fuzzy Sets and Systems
- 2005

In this note, we give four versions of Egoroff's theorem in non-additive measure theory by using the condition (E) and the pseudo-condition (E) of set function and the duality relations between the conditions. These conditions employed are not only sufficient, but also necessary for the four kinds of Egoroff's theorem, respectively.

- Yuji Yoshida, Masami Yasuda, Jun-ichi Nakagami, Masami Kurano
- Fuzzy Sets and Systems
- 2006

This paper discusses two topics on fuzzy random variables in decision making. One is a new evaluation method of fuzzy random variables, and the other is to present a mathematical model in financial engineering by fuzzy random variables. The evaluation method is introduced as mean values defined by fuzzy measures, and it is also applicable to fuzzy numbers… (More)