Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV" and ``Fuzzy.p.value" with practical examples

Testing fuzzy hypotheses with vague data

The problem of testing fuzzy hypotheses in the presence of vague data is considered. A new method based on the necessity index of strict dominance (NSD) is suggested. An example hoe to apply the proposed test in statistical quality control is shown.

Fuzzy decision in testing hypotheses by fuzzy data: Two case studies

In testing hypotheses, we may confront with cases where data are recorded as non-precise (fuzzy) rather than crisp. In such situations, the classical methods of testing hypotheses are not capable and need to be generalized. In solving the problem of testing hypotheses based on fuzzy data, the fuzziness of the observed data leads to the fuzzy p-value. This paper has been focused to calculate fuz...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

An introduction to the examples of scientific plagiarism and its identification soft-wares

Background: Increasing Immorality and Plagiarism in the country's higher education system has become a serious crisis. Hence, the purpose of this study was to analyze the Examples of Plagiarism and the introduction of Plagiarism detection software. Method: The present study is a narrative review study. Articles in Persian and Latin related to the use of scientific theft key words in databases w...

ترجمه و تحقیق کتاب an introduction to the history of mysticism

پایان نامه ی ارائه شده ترجمه ی کتاب «an introduction to the history of mysticism» نوشته ی مارگارت اسمیت که وی پژوهشگر، خاورشناس و محقق برجسته ی تصوف و عرفان می باشد. موضوع اساسی و مهم این کتاب عرفان در ادیان مختلف است. نویسنده در ابتدا این کلمه را ریشه یابی کرده و سپس تعریفی از آن ارائه داده و آن را در ادیان مختلف مورد بحث قرار داده است و در هر فصل کتاب به معرفی عرفای آن دین یا عصر خاصی پرداخته...

Active learning and decision making: an introduction to the collection

The importance of exploratory behaviors by which agents actively sample information has been long appreciated in a range of disciplines. However, because of their complexity and cognitive nature, these behaviors have been difficult to characterize. In recent years, a resurgence of interest in this question has been based on a confluence of ideas from multiple fields, including machine learning,...