Aplikasi Maqasid Syariah Terhadap Pentafsiran Ayat Hukum Arak Dalam Tafsir al-Azhar

2018 ◽  
Vol 10 (3-4) ◽  
Author(s):  
Mohd Fazali Abdul Manas ◽  
Abd Rahman Abd Ghani ◽  
Mohd Noor Daud

This  study   aimed  to  identify  of  maqasid  syariah  and   its  importance  in  the  interpretation  of  laws  in  the  Quranic  verses.   This  study  also  aimed  to  analyze  maqasid  syariah  in  the  interpretation of  alcohol laws in the Quran  verses which were applied by Hamka  in Tafsir  al-Azhar.  This study used texts and contents analyses. Inductive, deductive and comparative methods were also used to analyze the data. The  main result  of  this  study showed  that  the maqasid  syariah  was  applied  by  mufassir  in  interpretation  of the  laws  in  the  Quran  verses.  The  study found  that  Hamka  has  applied  the  maqasid  syariah  in  the interpretation  of  alcohol  laws in  the  Quran  verses  in  Tafsir  al-Azhar.  This  study concludes  that the application  of  maqasid  syariah  in  the  interpretation  of  law verses in  the  Quran should be emphasized  by mufassir.  The collection of law verses is important to facilitate Muslims to refer and practice them. The implication  is that the study has  created  a  maqasidi  thematic  interpretation  methodology  and  it  can  be  used  as  a  method  to interpret law verses in the Quran.

2019 ◽  
Author(s):  
Andrew Bennett ◽  
Tasha Fairfield ◽  
Hillel David Soifer

Author(s):  
Jonathan L. Ready

This chapter aims to convince Homerists and their fellow travelers in classical studies that they will find this entire book of value and to persuade those with interests in comparative literature, ethnography, folkloristics, and linguistic anthropology that they should at least read Part I. The chapter reviews the precedents for and goals of this study, defends the choice of the phrases “the Iliad poet” and “the Odyssey poet,” explains the comparative methods used, provides a bibliographical survey of the modern oral poetries investigated in the book, defines a simile, and summarizes the contents of each chapter.


Author(s):  
Martyna Daria Swiatczak

AbstractThis study assesses the extent to which the two main Configurational Comparative Methods (CCMs), i.e. Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), produce different models. It further explains how this non-identity is due to the different algorithms upon which both methods are based, namely QCA’s Quine–McCluskey algorithm and the CNA algorithm. I offer an overview of the fundamental differences between QCA and CNA and demonstrate both underlying algorithms on three data sets of ascending proximity to real-world data. Subsequent simulation studies in scenarios of varying sample sizes and degrees of noise in the data show high overall ratios of non-identity between the QCA parsimonious solution and the CNA atomic solution for varying analytical choices, i.e. different consistency and coverage threshold values and ways to derive QCA’s parsimonious solution. Clarity on the contrasts between the two methods is supposed to enable scholars to make more informed decisions on their methodological approaches, enhance their understanding of what is happening behind the results generated by the software packages, and better navigate the interpretation of results. Clarity on the non-identity between the underlying algorithms and their consequences for the results is supposed to provide a basis for a methodological discussion about which method and which variants thereof are more successful in deriving which search target.


2021 ◽  
pp. 004912412199555
Author(s):  
Michael Baumgartner ◽  
Mathias Ambühl

Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the optimally obtainable consistency and coverage scores for data [Formula: see text], so far, is a matter of repeatedly applying CCMs to [Formula: see text] while varying threshold settings. This article introduces a procedure called ConCovOpt that calculates, prior to actual CCM analyses, the consistency and coverage scores that can optimally be obtained by models inferred from [Formula: see text]. Moreover, we show how models reaching optimal scores can be methodically built in case of crisp-set and multi-value data. ConCovOpt is a tool, not for blindly maximizing model fit, but for rendering transparent the space of viable models at optimal fit scores in order to facilitate informed model selection—which, as we demonstrate by various data examples, may have substantive modeling implications.


1993 ◽  
Vol 21 (3) ◽  
pp. 329-336 ◽  
Author(s):  
W.S. Brown ◽  
Richard J. Morris ◽  
Rudolf Weiss
Keyword(s):  

Author(s):  
Mehrsima Abdoli ◽  
Abolfazl Mehranian ◽  
Angeliki Ailianou ◽  
Minerva Becker ◽  
Habib Zaidi

Author(s):  
Ousmane Khouma ◽  
Mamadou Lamine Ndiaye ◽  
Sidi Mohamed Farsi ◽  
Jean-jacques Montois ◽  
Idy Diop ◽  
...  

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