scholarly journals PRIORITIZATION OF THE INDICATORS AND SUB-INDICATORS OF MAQASID AL-SHARIAH IN MEASURING LIVEABILITY OF CITIES

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Rafikul Islam ◽  
Norimah Md. Dali ◽  
Alias Abdullah
Keyword(s):  
Quality Of Life ◽  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Analytic Hierarchy ◽  
Public Interests ◽  
Main Method ◽  
The Analytic Hierarchy Process ◽  
Global Peace ◽  
Hierarchy Process

Opinions were sought from a panel of two groups of Malaysian experts, i.e., the urban planners and the Maqasid al-Shariah scholars with the aim of developing an evaluation model via identifying and ranking the Maqasid indicators and sub-indicators for liveability and quality of life in cities. The measurement utilizes the Dharuriyyat (essentials or necessities) dimension of the Maqasid al-Shariah principles based on Al-Shatibi’s School of maslahah which targets public interests and benefits of living in cities. This is supported by Ibn Ashur and contemporarily by Yusuf al-Qaradhawi who emphasize harmony, justice and global peace. The Analytic Hierarchy Process (AHP) has been used as the main method to prioritize the indicators and sub-indicators. The AHP results indicate that religion, life, intellect, lineage and wealth are in descending order of importance, similar to the priorities of the classic Maqasid al-Shariah doctrine. However, the sub-indicators are ranked in terms of priorities based on the consensus of the urban planners and maqasid practitioners which ultimately form the Islamic liveability measurement for cities.

scholarly journals Evaluation of banks’ commercial credit applications using the analytic hierarchy process and Grey relational analysis: A comparison between public and private banks

2015 ◽  
Vol 18 (3) ◽  
pp. 308-324 ◽  
Author(s):  
Zeliha Kaygısız Ertuğ ◽  
Nuray Girginer
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Analytic Hierarchy ◽  
Public And Private ◽  
Relational Analysis ◽  
Private Banks ◽  
The Analytic Hierarchy Process ◽  
Grey Relational ◽  
Hierarchy Process

 The purpose of this study is to develop an evaluation model that considers the quantitative and qualitative criteria for the appropriate selection of firms demanding commercial credit for both public and private banks. In this paper, the authors propose an integrated model that combines the Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) into a single evaluation model. The model is illustrated with a case study on bank experts to demonstrate the effectiveness of this integrated method for four firms that applied for a commercial loan. In this study, AHP is applied to determine the weight of the criteria, and GRA is performed to determine the most appropriate firm. The results of this study indicate that, whereas firm morality and news criteria are the main criteria with the highest priority, sale and marketing constructions are the main criteria with the lowest priorities for both public and private banks. In addition, according to the results of GRA, the most appropriate firm for a public bank is Firm 1, and the most appropriate firm for a private bank is Firm 2.

Start-Up Business Evaluation Model Using the Analytic Hierarchy Process

2002 ◽  
Vol 3 (3) ◽  
pp. 211-219
Author(s):  
Sang Suk Lee ◽  
Jerome S. Osteryoung
Keyword(s):  
Analytic Hierarchy Process ◽  
Success Factors ◽  
Evaluation Model ◽  
Entrepreneurial Firms ◽  
Analytic Hierarchy ◽  
Start Up ◽  
The Usa ◽  
The Analytic Hierarchy Process ◽  
Feasibility Test ◽  
Hierarchy Process

This study develops a start-up business evaluation model for small and medium-sized firms using the Analytic Hierarchy Process (AHP). The intention is to provide a feasibility test for start-up businesses by calculating the relative weights of the various success factors in new entrepreneurial firms, and thus to develop a methodology for measuring the Start-up Business Index (SBI). The paper focuses on determinants in the start-up process of successful businesses in the USA and Korea that are considered by the entrepreneurs as having been necessary factors in their success.

scholarly journals A comprehensive data quality evaluation method for the currents of marine controlled-source electromagnetic transmitters based on the analytic hierarchy process

2020 ◽  
Vol 9 (1) ◽  
pp. 69-77
Author(s):  
Rui Yang ◽  
Meng Wang ◽  
Gongxiang Wang ◽  
Ming Deng ◽  
Jianen Jing ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Current Data ◽  
Sudden Increase ◽  
Analytic Hierarchy ◽  
Controlled Source ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Abstract. We present a quality control methodology for the currents of marine controlled-source electromagnetic transmitters . The quality level of the transmitting current directly affects the signal-to-noise ratio (SNR) of the electromagnetic-field data, as received by a multicomponent electromagnetic receiver from the seabed. Although the transmitting-current stability is sufficient under normal circumstances, the SNR of the received signal can change owing to factors such as outside noise. In some emergency cases such as instrument failure or a sudden increase in electromagnetic interference that we are not aware of, the frequency and properties of the transmitting current, such as its size and waveform, may change. The traditional current monitoring and data playback tools fail to detect and evaluate the anomalies well and in a timely manner, which introduces considerable errors in the later data-processing procedure. Pertaining to these issues, this paper proposes a comprehensive quality evaluation method for the transmitting current. The proposed algorithm, based on the analytic hierarchy process, is first used to analyze five current stability parameters – current frequency, positive amplitudes, negative amplitudes, discrepancy of ideal waveform, and waveform repetition – and then to define the harmonic energy and calculate the quality of transmitting current (QTC) index of the final data to assess the quality of the transmitting current comprehensively. The results of a marine experiment performed in 2016 show that the algorithm can identify abnormal current data and quantitatively evaluate the current conditions. Under normal circumstances, the QTC index is less than 2 %. The key findings are that the QTC index changes to more than 4 % and some curvilinear features are observed if the transmitting-current quality is poor. These results will provide a positive, significant guide for the evaluation and monitoring of transmitting-current data in marine experiments.

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