27,801 research outputs found

    An artificial immune systems based predictive modelling approach for the multi-objective elicitation of Mamdani fuzzy rules: a special application to modelling alloys

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    In this paper, a systematic multi-objective Mamdani fuzzy modeling approach is proposed, which can be viewed as an extended version of the previously proposed Singleton fuzzy modeling paradigm. A set of new back-error propagation (BEP) updating formulas are derived so that they can replace the old set developed in the singleton version. With the substitution, the extension to the multi-objective Mamdani Fuzzy Rule-Based Systems (FRBS) is almost endemic. Due to the carefully chosen output membership functions, the inference and the defuzzification methods, a closed form integral can be deducted for the defuzzification method, which ensures the efficiency of the developed Mamdani FRBS. Some important factors, such as the variable length coding scheme and the rule alignment, are also discussed. Experimental results for a real data set from the steel industry suggest that the proposed approach is capable of eliciting not only accurate but also transparent FRBS with good generalization ability

    Efficient algorithms for approximate reasoning

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    We present algorithms for approximate reasoning computations, for some intersection and implication functions, which are as efficient as E.H. Mamdani et al.'s (1975) interpolation method. Implementations of the algorithms are given in the functional language Mirand

    Poor People’s Experiences of Health Services in Tanzania

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    \ud Tanzania faces serious challenges to improving the health and well-being of its people. The Ministry of Health and its partners in government, the donor community and civil society have responded with concerted action, in many cases achieving significant gains. Services for prevention of mother-to child transmission of HIV are being expanded, a new protocol for malaria treatment is being implemented and evaluated, hundreds of service providers are now trained in life-saving skills for childbirth, and all districts have been oriented to the programme of integrated management of childhood illnesses (IMCI). These are but a few of the successes in recent years (MoH 2004a). These achievements are particularly notable given serious funding limitations in the health sector. The allocation to health has increased only slowly over recent years, from 7.5 percent in fiscal year (FY) 2000 to 8.7 percent in FY03, which is low in relation to projections in the Poverty Reduction Strategy (PRS) and to the Abuja commitment of 15 percent. Again, despite the PRS commitments, the absolute budgetary increase year-to-year has declined from a high of 41.12 percent in FY02 down to a 5.68 percent increase in FY04 (MoH 2004b). The FY05 budget ceilings indicate that the health sector will actually have fewer resources in real terms than in FY04. However, the low level of funding does not categorically preclude improvement of health services and ultimately health outcomes. “Differentiated” allocation of government funds, including in the health sector, can better prioritise the needs of the poor. The continuing disparities in health outcomes between the poorest and the richest Tanzanians and those in rural versus urban areas need to be addressed, along with the barriers to service experienced by the poor due to distance, formal and informal health charges, and other obstacles reported in this review (R&AWG 2003). The new resource allocation formula that utilizes equity criteria to distribute funds across districts, and the increasing proportion of funds for preventive services, are both positive developments in reaching the poor. Nonetheless, additional actions are needed to mobilize meaningful change for Tanzanians living in poverty. To move beyond policies and guidelines. To make tough decisions about how to bring the poor into the mainstream of health services, to focus differentiated attention to their well-being, and to bring critical human and financial resources to bear in one of the most crucial areas of Tanzania’s development: the health of its people. This literature review examines key findings on poor people’s experiences of health services and includes a particular focus on the barriers to access among the very poor due to cost sharing, an issue of special interest in the current era of “pro-poor” development. The review highlights seven key issues for reflection – and action: Access: Health services are often not accessed by the very poor, and by women in particular. Key obstacles are health care charges, long distances to facilities, inadequate and unaffordable transport systems, poor quality of care, and poor governance and accountability mechanisms. There have been improvements in availability of drugs which is a positive development, but some continuing deficiencies and particularly the cost of drugs still make them unavailable to many poor people. The shortage of skilled providers, while a serious concern to all actors in the sector including government, continues to persist. Discrimination against clients who are not able to pay and poor referral systems all result in low quality of care. Health care charges: Revenue generated by cost sharing has not necessarily impacted positively on quality of health care. User fees are not the only charges; other costs include transport costs, other “unofficial” costs including bribes, payments for drugs and supplies, and time spent away from productive activities which is particularly critical for people living in poverty. Health care charges have placed an impossible financial burden on the poorest households; many fail to access primary care when they need it most and many more fail to obtain the necessary referral for more skilled care. People do not always know what they are supposed to pay, and which payment demands are legitimate or illegitimate. Official charges are not necessarily affordable. “Unofficial” charges are still in place, and exemption and waivers have not been effectively implemented. The quality of care in public facilities has not necessarily improved even with the additional funds generated from user fees. The Community Health Fund may have improved the quality and range of services in those places where the CHF is in place. However, the scheme is not necessarily benefiting the very poor in a more equitable way. Many report they are not able to afford the joining fees and therefore pay for treatment on a case-by-case basis, which can ultimately be more expensive. more expensive. Participation and decision-making: Community participation is very limited in regards to determining health care priorities, deciding where funds should be allocated, and monitoring expenditures. This is a problem across priority sectors, not only in health. It is due in part to a general lack of knowledge about rights and recent reforms. More importantly though, reliable mechanisms are not in place for discussing issues of concern at the village level and then raising these concerns to the district level for action. Governance and accountability: Health consumers express dissatisfaction with critical governance issues such as abuses of power, financial mismanagement and corruption. While there exist some cases of health users and authorities working together, systems are generally not in place to ensure that services respond to the priority needs of beneficiaries. Adequate management systems have not been instituted to ensure appropriate collection of fees and allocation of these locally-generated resources. Government has recently begun to publish information on priority sector allocations for each district; this is an important development in enabling people to monitor public funds earmarked for critical services. Because this information is not disaggregated below the district level, however, it is not possible to monitor expenditures at the village or facility level. Exemptions and waivers: Exemptions, and in particular waivers, are not systematically implemented and are not effective as a means of protecting vulnerable social groups and the poorest of the poor. Even if official fees are exempted or waived, the poor and vulnerable still end up having to pay for drugs, transport, small charges (e.g. cards, materials), and bribes. The exemption scheme is poorly implemented partly because accountability mechanisms are not in place, and because health service providers are not following procedures that are often unclear to them to begin with. But an equally important factor is the low uptake and lack of insistence on free services by the poor, primarily because they are not aware of their rights. A lack of clear criteria and policy guidelines for identifying people who are eligible for waivers has resulted in ad hoc decisions, without clear records or follow-up. How poor people cope: Many poor households have fallen deeper into poverty as they end up using their limited and critical assets to pay for treatment. They use meagre savings (if they have any) and sell their crops, animals, land and their labour. Those who can, borrow money or take a loan, or bond their assets. They are often forced to reduce their food intake and to take their children out of school in order to pay for treatment. These strategies to pay for care drive poor people deeper into poverty and increase their vulnerability significantly. Health care seeking behaviour and choice of providers: Typically, poor people’s incomes are sufficient for subsistence only. They are frequently forced to resort to self-treatment, seek ineffective alternatives, or report much too late for care, often with fatal consequences. Many resort to traditional healers. If people can afford treatment at all, government facilities are normally the only option, especially in rural areas, as they may be close by and possibly less expensive. The overall feeling, however, is that if money can be found it is best to spend it at mission facilities which are generally known for staff commitment and availability of drugs and tests, but perhaps most importantly, for their willingness to defer payment and start treatment if necessary. The way forward The health sector is seriously under-funded despite the fact that it is a priority sector in the Poverty Reduction Strategy, and despite the fact that a healthy population is a basic ingredient of economic growth. Lack of funds, however, is not the only cause of the weak health system. Underskilled and de-motivated personnel, deficiencies in quality of care, weak and confusing management systems, lack of information provided to health consumers, and lack of access by the very poor to treatment characterize much of the current situation. These factors, and more, have resulted in a health care system that requires not only massive investments of funds but also a renewed commitment funds but also a renewed commitment and vision among all actors – government, policymakers, donors, non-governmental organizations, faith based organizations, health workers themselves and others – to generate fundamental change. This call for change is a particular imperative for Tanzanians living in poverty, for whom treatment is becoming increasingly unavailable, and for whom expensive private care is simply not an option. The dilemma, then, is how to make quality care available to all – including the poor – in an environment of limited and insufficient financial resources and severely constrained human and material resources. A number of questions have been raised in this report that merit immediate consideration: What mechanisms can be instituted to minimize the exclusion of poor and vulnerable persons from health services while recognizing the very real financial requirements of the sector? What are the main priorities for improved quality of care for the poor? Affordable services? Available essential drugs? Well-equipped facilities? A motivated team of skilled health workers? How can existing cost structures be revised in order to increase poor people’s access to quality health care? How can an effective mechanism of waivers and exemptions be instituted and enforced? How can problems of access to health facilities be addressed, including distance and affordable transport? How can the referral system be improved so it functions effectively even in rural areas? How can ordinary people get access to adequate and understandable information about allocations and expenditures at the local level? How can people be included in monitoring of health services and ensuring services are\ud \ud \u

    A survey of fuzzy control for stabilized platforms

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    This paper focusses on the application of fuzzy control techniques (fuzzy type-1 and type-2) and their hybrid forms (Hybrid adaptive fuzzy controller and fuzzy-PID controller) in the area of stabilized platforms. It represents an attempt to cover the basic principles and concepts of fuzzy control in stabilization and position control, with an outline of a number of recent applications used in advanced control of stabilized platform. Overall, in this survey we will make some comparisons with the classical control techniques such us PID control to demonstrate the advantages and disadvantages of the application of fuzzy control techniques

    A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

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    open access articleDetecting and classifying driver distractions is crucial in the prevention of road accidents. These distractions impact both driver behavior and vehicle dynamics. Knowing the degree of driver distraction can aid in accident prevention techniques, including transitioning of control to a level 4 semi- autonomous vehicle, when a high distraction severity level is reached. Thus, enhancement of Advanced Driving Assistance Systems (ADAS) is a critical component in the safety of vehicle drivers and other road users. In this paper, a new methodology is introduced, using an expert knowledge rule system to predict the severity of distraction in a contiguous set of video frames using the Naturalistic Driving American University of Cairo (AUC) Distraction Dataset. A multi-class distraction system comprises the face orientation, drivers’ activities, hands and previous driver distraction, a severity classification model is developed as a discrete dynamic Bayesian (DDB). Furthermore, a Mamdani-based fuzzy system was implemented to detect multi- class of distractions into a severity level of safe, careless or dangerous driving. Thus, if a high level of severity is reached the semi-autonomous vehicle will take control. The result further shows that some instances of driver’s distraction may quickly transition from a careless to dangerous driving in a multi-class distraction context

    Optimasi Fungsi Keanggotaan Fuzzy Mamdani Menggunakan Algoritma Genetika Untuk Penentuan Penerima Beasiswa

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    Beasiswa merupakan bantuan pendidikan yang ditujukan untuk meringankan biaya pendidikan sekaligus membantu memperbaiki tingkat pendidikan bangsa. Saat ini banyak beasiswa yang ditawarkan kepada mahasiswa yang kurang mampu dan mahasiswa berprestasi. Untuk mengantisipasi agar beasiswa tersalurkan kepada yang berhak maka diperlukan suatu system mengambil keputusan yang berdasarkan pada enam kriteria utama yaitu Index Prestasis Komulatif (IPK), semester, penghasilan orang Tua, tagihan listrik, pembayaran PBB dan tanggungan orang tua. Pemanfaatan sistem pengambilan keputusan dalam menyelesaikan masalah ketidak tepatan sasaran dalam menentukan penerima beasiswa pada STMIK Surya Intan Kotabumi dengan menggunakan Metode Fuzzy Mamdani dan Metode Algoritma Genetika. Tujuan penelitian ini untuk menerapkan metode Fuzzy Mamdani dan Algoritma Genetika serta mengukur tingkat akurasi metode Fuzzy Mamdani tanpa optimasi dengan metode Fuzzy Mamdani yang teroptimasi menggunakan Algoritma Genetika berdasarkan kriteria- kriteria yang telah ditentukan. Hasil dari penggunaan kedua metode tersebut dengan membandingkan antara metode Fuzzy Mamdani tanpa optimasi sebesar 0,8801 dengan metode Fuzzy Mamdani yang teroptimasi menggunakan Algoritma Genetika sebesar 0,9172 yang diukur menggunakan kolerasi spearman sehingga disimpulkan bahwa penggunaan algoritma genetika dapat mengoptimalkan tingkat kolerasi sebesar 0,0371
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