The paper presents a new method to give short term forecast of agricultural production based on f... more The paper presents a new method to give short term forecast of agricultural production based on fuzzy time series. The agriculture production and productivity is one of the such processes, which is not governed by any deterministic process due to highly non linearity caused by various affective production parameters like weather, rainfall, sunshine, diseases, disaster etc. In such processes Fuzzy time series and Artificial neural network be preferred as these use the relation of dependency and knowledge by learning process of set of training data. The paper presents a method to have short term forecast of agriculture production (course food grains) of Bareilly district (U.P.), INDIA where the time series data obtained through statistical estimators involve vagueness. The study uses the fuzzy set theory and applies the fuzzy time series models introduced by Song & Chissiom [1993] and artificial neural network to forecast the production of course food grains. It uses the the time inva...
Reliability is an important issue for deciding the quality of the software. Reliability predictio... more Reliability is an important issue for deciding the quality of the software. Reliability prediction is a statistical procedure that purpose to expect the future reliability values, based on known information during development processes. It is considered as a basic function of software development. A review-based research has been done in this work to evaluate the previously established methodologies for reliability prediction. In this paper, authors give a critical review related to successful research of reliability prediction. This paper also provides many challenges and keys of reliability estimation during software development process. Further, this paper gives a precarious discussion on previous work and identified factors which are important for reliability of software but still ignored. This work helps to developers for predicting the reliability of software with minimum risks.
The paper presents a new method to give short term forecast of agricultural production based on f... more The paper presents a new method to give short term forecast of agricultural production based on fuzzy time series. The agriculture production and productivity is one of the such processes, which is not governed by any deterministic process due to highly non linearity caused by various affective production parameters like weather, rainfall, sunshine, diseases, disaster etc. In such processes Fuzzy time series and Artificial neural network be preferred as these use the relation of dependency and knowledge by learning process of set of training data. The paper presents a method to have short term forecast of agriculture production (course food grains) of Bareilly district (U.P.), INDIA where the time series data obtained through statistical estimators involve vagueness. The study uses the fuzzy set theory and applies the fuzzy time series models introduced by Song & Chissiom [1993] and artificial neural network to forecast the production of course food grains. It uses the the time inva...
Reliability is an important issue for deciding the quality of the software. Reliability predictio... more Reliability is an important issue for deciding the quality of the software. Reliability prediction is a statistical procedure that purpose to expect the future reliability values, based on known information during development processes. It is considered as a basic function of software development. A review-based research has been done in this work to evaluate the previously established methodologies for reliability prediction. In this paper, authors give a critical review related to successful research of reliability prediction. This paper also provides many challenges and keys of reliability estimation during software development process. Further, this paper gives a precarious discussion on previous work and identified factors which are important for reliability of software but still ignored. This work helps to developers for predicting the reliability of software with minimum risks.
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Papers by R. Srivastava