한국 퍼지 연구회의 발전을 기원하면서

Zadeh,Sanchez,Asai,김종식 한국지능시스템학회 1991 한국지능시스템학회논문지 Vol.1 No.1

MORSE INEQUALITIES FOR MANIFOLDS WITH BOUNDARY

Zadeh, Mostafa Esfahani Korean Mathematical Society 2010 대한수학회지 Vol.47 No.1

The aim of this paper is to provide a proof for a version of the Morse inequalities for manifolds with boundary. Our main results are certainly known to the experts on Morse theory, nevertheless it seems necessary to write down a complete proof for it. Our proof is analytic and is based on the J. Roe account of Witten's approach to Morse Theory.

Prioritizing the Preferences of Iranian Cancer Patients Regarding Acquisition of Health Information: Strategy for Patient Education

Zadeh, Jamileh Mahdi,Fard, Farahnaz Ghahreman,Madani, Raihaneh,Iravani, Homa,Kahouei, Mehdi Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.6

Recognizing cancer patients' preferences to obtain health information can help improve and reform the methods of communicating and providing proper services and consequently lead to effective patient education. The present cross-sectional study to prioritize the preferences of cancer patients regarding the acquisition of health informationwas conducted on cancer patients referred to hospitals affiliated to Semnan University of Medical Sciences in 2015. An anonymous self-administered questionnaire was developed. In the field of side effects of medications, 50 (46.7%) reported knowing about weight change, in the area of achieving relative health, 62(57.9%) announced awareness about diet, and 45 (42.1%) reported physical complications as a first regarding information needs. In the area of obtaining information, 50 (46.7%) tended to take their information through means outside of the hospital setting. These results can help with design of clinical information systems, as they inform the most relevant and useful coverage designed for cancer patients. Providing useful information through healthcare providers, the media and clinical information systems can act as a major source of social support for cancer patients.

Assessing the Potential of Thermal Imaging in Recognition of Breast Cancer

Zadeh, Hossein Ghayoumi,Haddadnia, Javad,Ahmadinejad, Nasrin,Baghdadi, Mohammad Reza Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.18

Background: Breast cancer is a common disorder in women, constituting one of the main causes of death all over the world. The purpose of this study was to determine the diagnostic value of the breast tissue diseases by the help of thermography. Materials and Methods: In this paper, we applied non-contact infrared camera, INFREC R500 for evaluating the capabilities of thermography. The study was conducted on 60 patients suspected of breast disease, who were referred to Imam Khomeini Imaging Center. Information obtained from the questionnaires and clinical examinations along with the obtained diagnostic results from ultrasound images, biopsies and thermography, were analyzed. The results indicated that the use of thermography as well as the asymmetry technique is useful in identifying hypoechoic as well as cystic masses. It should be noted that the patient should not suffer from breast discharge. Results: The accuracy of asymmetry technique identification is respectively 91/89% and 92/30%. Also the accuracy of the exact location of identification is on the 61/53% and 75%. The approach also proved effective in identifying heterogeneous lesions, fibroadenomas, and intraductal masses, but not ISO-echoes and calcified masses. Conclusions: According to the results of the investigation, thermography may be useful in the initial screening and supplementation of diagnostic procedures due to its safety (its non-radiation properties), low cost and the good recognition of breast tissue disease.

The Roles of Soft Computing and Fuzzy Logic in the Conception, Design and Deployment of Intelligent System

Zadeh, Lotfi A. 대한전자공학회 1996 APCCAS:Asia Pacific Conference on Circuits And Sys Vol.1 No.1

The concepts of granulation and organization play fundamental roles in human cognition. In a general setting, granulation involves a decomposition of whole into parts. Conversely, organization involves an integration of parts into whole. In more specific terms, information granulation (IG) relates to partitioning a class of points (objects) into granules, with a granule being a clump of points drawn together by indistinguishability, similarity or functionality. The concept of a granule is more general than that of a cluster. Modes of information granulation in which granules are crisp play important roles in a wide variety of methods, approaches and techniques. Among them are: interval analysis, quantization, rough set theory, diakoptics, divide and conquer, Dempster-Shafer theory, machine learning from examples, chunking, qualitative process theory, decision trees, semantic networks, analog-to-digital conversion, constraint programming, cluster analysis and many others. Important though it is, crisp information granulation (crisp IG) has a major blind spot. More specifically, it fails to reflect the fact that in much -- perhaps most -- of human reasoning and concept formation granules are fuzzy rather than crisp. For example, fuzzy granules of a human head are the nose, forehead, hair, cheeks, etc. Each of the fuzzy granules is associated with a set of fuzzy attributes, e.g., in the case of the fuzzy granule hair, the fuzzy attributes are color, length, texture, etc. In turn, each of the fuzzy attributes is associated with a set of fuzzy values. Specifically, in the case of the fuzzy attribute length(hair), the fuzzy values are long, short, not very long, etc. The fuzziness of granules is characteristic of the ways in which human concepts are formed, organized and manipulated. In human cognition, fuzziness of granules is a direct consequence of fuzziness of the concepts of indistinguishability, similarity and functionality. Furthermore, it is entailed by the finite capacity of the human mind to store information and resolve detail. In this perspective, fuzzy information granulation (fuzzy IG) may be viewed as a form of lossy data compression. Fuzzy information granulation underlies the remarkable human ability to make rational decisions in an environment of imprecision, uncertainty and partial truth. And yet, despite its intrinsic importance, fuzzy information granulation has received scant attention except in the context of fuzzy logic, in which fuzzy IG underlies the basic concepts of linguistic variable, fuzzy if-then rule and fuzzy graph. In fact, the effectiveness and successes of fuzzy logic in dealing with real-world problems rest in large measure on the use of the machinery of fuzzy information granulation. This machinery is unique to fuzzy logic. Recently fuzzy information granulation has come to play a central role in the methodology of computing with words. More specifically, in a natural language words play the role of labels of fuzzy granules. In computing with words, a proposition is viewed as an implicit fuzzy constraint on an implicit variable. The meaning of a proposition is the constraint which it represents. In CW, the initial data set (IDS) is assumed to consist of a collection of propositions expressed in a natural language. The result of computation -- referred to as the terminal data set (TDS) -- is likewise a collection of propositions expressed in a natural language. To infer TDS from IDS the rules of inference in fuzzy logic are used for constraint propagation from premises to conclusions. There are two main rationales for computing with words. First, computing with words is a necessity when the available information is not precise enough to justify the use of numbers. And second, computing with words is advantageous when there is a tolerance for imprecision, uncertainty and partial truth that can be exploited to achieve tractability, robustness, low solution cost and better rapport with reality. In coming years, computing with words is likely to evolve into an important methodology in its own right with wide-ranging applications on both basic and applied levels. Inspired by the ways in which humans granulate human concepts, we can proceed to granulate conceptual structures in various fields of science. In a sense, this is what motivates computing with words. An intriguing possibility is to granulate the conceptual structure of mathematics. This would lead to what may be called granular mathematics. Eventually, granular mathematics may evolve into a distinct branch of mathematics having close links to the real world. In the final analysis, fuzzy information granulation is central to human reasoning and concept formation. It is this aspect of fuzzy IG that underliesits essential role in the conception and design of intelligent systems. What is conclusive is that there are many, many tasks which humans can perform with ease and that no machine could perform without the use of fuzzy information granulation, This conclusion has a thought-provoking implication for AI. Without the methodology of fuzzy IG in its armamentarium, AI cannot achieve its goals.

Comparison of nutrient intake by sleep status in selected adults in Mysore, India

Zadeh, Sara Sarrafi,Begum, Khyrunnisa The Korean Nutrition Society 2011 Nutrition Research and Practice Vol. No.

Insomnia has become a major public health issue in recent times. Although quality of sleep is affected by environmental, psychophysiological, and pharmacological factors, diet and nutrient intake also contribute to sleep problems. This study investigated the association between nutrient intake and co-morbid symptoms associated with sleep status among selected adults. Subjects in this study included 87 men and women aged 21-45 years. Presence of insomnia was assessed using the Insomnia Screening Questionnaire, and dietary intake was measured over three consecutive days by dietary survey. Descriptive analysis, ANOVA, and Chi-Square tests were performed to compute and interpret the data. Approximately 60% of the participants were insomniacs. People with insomnia consumed significantly lesser quantities of nutrients as compared to normal sleepers. Differences in intakes of energy, carbohydrates, folic acid, and $B_{12}$ were highly significant (P < 0.002). Further, intakes of protein, fat, and thiamine were significantly different (P < 0.021) between insomniacs and normal sleepers. The nutrient intake pattern of the insomniacs with co-morbid symptoms was quite different from that of the normal sleepers. Based on these results, it is probable that there is an association between nutrition deficiency, co-morbid symptoms, and sleep status. More studies are required to confirm these results.

An Optimal Power-Throughput Tradeoff Study for MIMO Fading Ad-Hoc Networks

Yousefi'zadeh, Homayoun,Jafarkhani, Hamid The Korea Institute of Information and Commucation 2010 Journal of communications and networks Vol.12 No.4

In this paper, we study optimal tradeoffs of achievable throughput versus consumed power in wireless ad-hoc networks formed by a collection of multiple antenna nodes. Relying on adaptive modulation and/or dynamic channel coding rate allocation techniques for multiple antenna systems, we examine the maximization of throughput under power constraints as well as the minimization of transmission power under throughput constraints. In our examination, we also consider the impacts of enforcing quality of service requirements expressed in the form of channel coding block loss constraints. In order to properly model temporally correlated loss observed in fading wireless channels, we propose the use of finite-state Markov chains. Details of fading statistics of signal-to-interference-noise ratio, an important indicator of transmission quality, are presented. Further, we objectively inspect complexity versus accuracy tradeoff of solving our proposed optimization problems at a global as oppose to a local topology level. Our numerical simulations profile and compare the performance of a variety of scenarios for a number of sample network topologies.

TORSION THEORY, CO-COHEN-MACAULAY AND LOCAL HOMOLOGY

Bujan-Zadeh, Mohamad Hosin,Rasoulyar, S. Korean Mathematical Society 2002 대한수학회보 Vol.39 No.4

Let A be a commutative ring and M an Artinian .A-module. Let $\sigma$ be a torsion radical functor and (T, F) it's corresponding partition of Spec(A) In [1] the concept of Cohen-Macauly modules was generalized . In this paper we shall define $\sigma$-co-Cohen-Macaulay (abbr. $\sigma$-co-CM). Indeed this is one of the aims of this paper, we obtain some satisfactory properties of such modules. An-other aim of this paper is to generalize the concept of cograde by using the left derived functor $U^{\alpha}$$_{I}$(-) of the $\alpha$-adic completion functor, where a is contained in Jacobson radical of A.A.

Estimation of genetic relationships between growth curve parameters in Guilan sheep

Hossein-Zadeh, Navid Ghavi Korean Society of Animal Science and Technology 2015 한국축산학회지 Vol.57 No.5

The objective of this study was to estimate variance components and genetic parameters for growth curve parameters in Guilan sheep. Studied traits were parameters of Brody growth model which included A (asymptotic mature weight), B (initial animal weight) and K (maturation rate). The data set and pedigree information used in this study were obtained from the Agricultural Organization of Guilan province (Rasht, Iran) and comprised 8647 growth curve records of lambs from birth to 240 days of age during 1994 to 2014. Marginal posterior distributions of parameters and variance components were estimated using TM program. The Gibbs sampler was run 300000 rounds and the first 60000 rounds were discarded as a burn-in period. Posterior mean estimates of direct heritabilities for A, B and K were 0.39, 0.23 and 0.039, respectively. Estimates of direct genetic correlation between growth curve parameters were 0.57, 0.03 and -0.01 between A-B, A-K and B-K, respectively. Estimates of direct genetic trends for A, B and K were positive and their corresponding values were $0.014{\pm}0.003$ (P < 0.001), $0.0012{\pm}0.0009$ (P > 0.05) and $0.000002{\pm}0.0001$ (P > 0.05), respectively. Residual correlations between growth curve parameters varied form -0.52 (between A-K) to 0.48 (between A-B). Also, phenotypic correlations between growth curve parameters varied form -0.49 (between A-K) to 0.47 (between A-B). The results of this study indicated that improvement of growth curve parameters of Guilan sheep seems feasible in selection programs. It is worthwhile to develop a selection strategy to obtain an appropriate shape of growth curve through changing genetically the parameters of growth model.

A Generalization of Cohen-Macaulay Modules by Torsion Theory

Bijan Zadeh, M . H .,Payrovi, SH . 호남수학회 1998 호남수학학술지 Vol.20 No.1

In this short note we study the torsion theories aver a commutative ring R and discuss a relative dimension related to such theories for R-modules. Let σ be a torsion functor and (T, F) be its corresponding partition of Spec(R). The concept of σ-Cohen Macaulay (abbr. σ-CM) module is defined and some of the main points concerning the usual Cohen-Macaulay modules are extended. In particular it is shown that if M is a non-zero σ-CM module over R and S is a multiplicatively closed subset of R such that, for all minimal element of T, S ∩ p = Φ, then S^(-1)M is a S^(-1)σ-CM module over S^(-1)R, where S^(-1)σ is the direct image of Q under the natural ring homomorphism R→S^(-1) R.