scholarly journals GIS-SUPPORTED MAPPING OF SUITABLE PARKING AREAS USING AHP METHOD: THE CASE OF KONYA

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 51-56
Author(s):  
T. Alkan ◽  
S. S. Durduran
Keyword(s):  
Decision Making ◽  
Information System ◽  
Analytical Hierarchy Process ◽  
Site Selection ◽  
Multi Criteria Decision Making ◽  
Situation Analysis ◽  
Ahp Method ◽  
Criteria Weights ◽  
Suitable Site ◽  
Hierarchy Process

Abstract. The increase in the number of vehicles with the increasing population has caused the problem of parking insufficiency. This problem necessitate situation analysis of existing parking areas and site selection analyses for new parking areas. It is possible to make suitable site selections with spatial analysis supported by Geographic Information System (GIS). In this study, available parking areas in Selçuklu district of Konya province were evaluated and suitable parking areas were determined in line with the needs. The criteria affecting the parking areas site selection were determined and the importance levels of the criteria were detected by using the Analytical Hierarchy Process (AHP) which is one of the Multi-Criteria Decision Making (MCDM) methods. Density analyses were carried out with GIS and suitable parking areas map was produced considering the criteria weights obtained.

scholarly journals Implementation of AHP and SAW Methods for Optimization of Decision Recommendations

2021 ◽  
Vol 4 (1) ◽  
pp. 254-265
Author(s):  
Deborah Kurniawati ◽  
Febri Nova Lenti ◽  
Rudi Wahyu Nugroho
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytical Hierarchy Process ◽  
Decision Makers ◽  
Ahp Method ◽  
Basic Difference ◽  
Criteria Weights ◽  
The Difference ◽  
Hierarchy Process ◽  
Final Calculation

Differences in interest in decision making are one of the things that must be facilitated in decision support applications. The most basic difference of interest in decision making is the difference in the weight of the importance of each criterion used. Each decision maker has their own interest in the criteria used. If these differences can be facilitated properly, the resulting decision recommendations can be optimal, in this case more in line with the interests of the users. The model is designed using the Analytical Hierarchy Process (AHP) and Simple Additive Weight (SAW) methods, using 5 criteria. The final result of the AHP method is in the form of criteria weights that are in accordance with the interests of decision makers and in accordance with the consistency of the comparisons that have been given. The resulting weight will be used in the final calculation of SAW, namely in the calculation of alternative weights. By using AHP, the weight of the criteria becomes more subjective according to the interests of decision makers. Thus, the resulting alternative recommendations become more optimal because they are in accordance with the needs of decision makers.

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

scholarly journals Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 363
Author(s):  
Ran Li ◽  
Tao Sun
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Ahp ◽  
Literature Survey ◽  
Multi Criteria Decision Making ◽  
The Core ◽  
Business To Consumer ◽  
Main Factors ◽  
Hierarchy Process

The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.

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