نتایج جستجو برای: stochastic goal programming

تعداد نتایج: 657191  

2010
T. Hasuike H. Ishii H. Katagiri

This paper considers a general 0-1 random fuzzy programming problem including some previous 0-1 stochastic and fuzzy programming problems. The proposal problem is not a well-defined problem due to including random fuzzy variables. Therefore, by introducing chance constraint and fuzzy goal for objective function and considering the maximization for the degrees of possibility that the objective f...

2008
Takashi Hasuike Hideki Katagiri Hiroaki Ishii

This paper considers a general 0-1 random fuzzy programming problem based on the degree of necessity including some previous 0-1 stochastic and fuzzy programming problems. The proposal problem is not a well-defined problem due to including random fuzzy variables. Therefore, by introducing chance constraint and fuzzy goal for objective function, and considering the maximization for the degrees o...

Journal: :An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2016

Journal: :Set-valued and Variational Analysis 2021

Motivated by applications to stochastic programming, we introduce and study the expected-integral functionals, which are mappings given in an integral form depending on two variables, first a finite dimensional decision vector second one integrable function. The main goal of this paper is establish sequential versions Leibniz’s rule for regular subgradients employing developing appropriate tool...

We propose to use a mathematical method based on stochastic comparisons of Markov chains in order to derive performance indice bounds‎. ‎The main goal of this paper is to investigate various monotonicity properties of a single server retrial queue with first-come-first-served (FCFS) orbit and general retrial times using the stochastic ordering techniques‎.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی ارومیه - دانشکده فنی 1394

در روش fuzzy ahp topsis ابتدا ماتریس مقایسات زوجی تشکیل و وزن معیارها با روش های مختلفی تعیین شد. پس از تشکیل ماتریس تصمیم و بی مقیاس سازی با نورم، ماتریس تصمیم بی مقیاس شده وزن دار به دست آمد. سپس، حل ایده آل و ضدایده آل از ماتریس وزن دار همراه با فاصله از ایده‎ آل و ضد ایده آل ها تعیین شد. تمامی این مراحل را با اعداد فازی نیز انجام شد که درنهایت نتیجه هر دو روش انتخاب گزینه شماره دو بود که به...

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