نتایج جستجو برای: case selection

تعداد نتایج: 1643629  

پایان نامه :0 1392

it is definitely necessary to understand the concept and behavior of causation of life insurance policies and its determinants for insurance managers, regulators, and customers. for insurance managers, the profitability and liquidity of insurers can be increasingly influenced by the number of causation through costs, adverse selection, and cash surrender values. therefore, causation is a materi...

پایان نامه :0 1390

انتخاب نامساعد یکی از مشکلات اساسی در صنعت بیمه است. که ابتدا در سال 1960، توسط روتشیلد واستیگلیتز مورد بحث ومطالعه قرار گرفت ازآن موقع تاکنون بسیاری از پژوهشگران مدل های مختلفی را برای تجزیه و تحلیل تقاضا برای صنعت بیمه عمر که تماما ناشی از عدم قطعیت در این صنعت میباشد انجام داده اند .وهدف از آن پیدا کردن شرایطی است که تحت آن شرایط انتخاب یا کنار گذاشتن یک بیمه گزار به نفع و یا زیان شرکت بیمه ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1389

abstract: about 60% of total premium of insurance industry is pertained?to life policies in the world; while the life insurance total premium in iran is less than 6% of total premium in insurance industry in 2008 (sigma, no 3/2009). among the reasons that discourage the life insurance industry is the problem of adverse selection. adverse selection theory describes a situation where the inf...

2007
Haris Supic

the form of two different types of cases: plan cases and contextual cases.

Journal: :iranian endodontic journal 0
masoud parirokh ahmadreza zarifian jamileh ghoddusi

case selection and treatment plan are important aspects of endodontic treatment. dentists should organize the treatment plan based on their knowledge, abilities, skills and more importantly the patients’ preference and dentition. indubitably, the treatment plan for each patient is exclusive and “tailor-made” and cannot be used for all patients. dentists’ self-estimation of their abilities opens...

2012
Aida de Haro-García Juan Antonio Romero Nicolás García-Pedrajas Juan Antonio Romero del Castillo

The overwhelming amount of data that is available nowadays in any field of research poses new problems for machine learning methods. This huge amount of data makes most of the existing algorithms inapplicable to many real-world problems. Two approaches have been used to deal with this problem: scaling up machine learning algorithms and data reduction. Nevertheless, scaling up a certain algorith...

2007
Raquel Ros Manuela M. Veloso Ramon López de Mántaras Carles Sierra Josep Lluís Arcos

We propose a Case-Based Reasoning approach for action selection in the robot soccer domain presented in the 8th European Conference on Case-Based Reasoning (2006). Based on the current state of a game, the robots retrieve the most similar past situation and then the team reproduces the sequence of actions performed in that occasion. In this domain we have to deal with all the difficulties that ...

Journal: :Expert Syst. Appl. 2011
Beyza Ahlatçioglu Ozkok Fatma Tiryaki

Supplier selection problem is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In the selection process many criteria may conflict with each other, therefore decision-making process becomes complicated. In this paper, we propose a compensatory fuzzy approach to solve multi-objective linear supplier selection problemwith multiple-item (MLSSP-MI) ...

2007
Raquel Ros Ramon López de Mántaras Josep Lluís Arcos Manuela M. Veloso

This paper presents extensions and improvements of previous work, where we defined a CBR system for action selection in the robot soccer domain. We show empirical results obtained with real robots, comparing our team playing approach with an individualist approach.

2005
Frederick Eberhardt Clark Glymour Richard Scheines

We show that if any number of variables are allowed to be simultaneously and independently randomized in any one experiment, log2(N) + 1 experiments are sufficient and in the worst case necessary to determine the causal relations among N ≥ 2 variables when no latent variables, no sample selection bias and no feedback cycles are present. For all K, 0 < K < 1 2N we provide an upper bound on the n...

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