scholarly journals DECISION SUPPORT SYSTEM FOR SMARTPHONE RECOMMENDATION: THE COMPARISON OF FUZZY AHP AND FUZZY ANP IN MULTI-ATTRIBUTE DECISION MAKING

SINERGI ◽  
2020 ◽  
Vol 25 (1) ◽  
pp. 101
Author(s):  
Okfalisa Okfalisa ◽  
Hidayati Rusnedy ◽  
Dwi Utari Iswavigra ◽  
B. Pranggono ◽  
Elin Haerani Haerani ◽  
...  
Keyword(s):  
Decision Making ◽  
Execution Time ◽  
Fuzzy Ahp ◽  
Random Access ◽  
Analytic Network Process ◽  
Application Development ◽  
Fuzzy Anp ◽  
Expert Opinions ◽  
Network Process ◽  
Multi Attribute Decision Making

Previous researches outlined the advantages of the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods in solving Multi-Attribute Decision Making (MADM) problems. The advancement of the above methods was continually developed as an effort to cover up various weaknesses. Mainly related to the consistency and linguistic variables in translating the expert opinions. Thus, it initialized the emergence of Fuzzy AHP (F-AHP) and Fuzzy ANP (F-ANP). Due to the restricted operation of these algorithms in smartphone selection, this research attempted to investigate the effectiveness of both methods in providing the analysis of criteria weight, the final recommendation weight, the product recommendation weight, and the execution time in DSS-SmartPhoneRec application development. A survey of one hundred respondents of University students identified the dominant criteria in selecting the smartphone, namely price, Random Access Memory (RAM), processor, internal memory, and camera. Hence, five alternative products were then chosen as the appropriate smartphones’ recommendations based on the respondent’s preferences.  As an automatic tool, a DSS-SmartPhoneRec application was built to analyze and compare between F-AHP and F-ANP methods in resolving the smartphone selection cases. It revealed that the level of consistency of criteria weight, the final weight of recommendation, and the weight that the product-based F-ANP was 40% greater than F-AHP. In terms of execution time, F-AHP had a shorter time than F-ANP. Meanwhile, the comparison of products recommendation from DSS-SmartPhoneRec and a manual test showed that F-ANP was 16% more in line with the respondents’ predilection. In a nutshell, the DSS-SmartPhoneRec administered the devote smartphone recommendations based on the user’s expectation. The comparison analysis furnished a learning outcome for the users in determining the appropriate MADM method tailored to the type of cases.

Evaluation of Faculties by DEA-ANP Hybrid Algorithm of Chapter

2017 ◽  
pp. 138-183
Author(s):  
Elahe Shariatmadari Serkani
Keyword(s):  
Decision Making ◽  
Hybrid Algorithm ◽  
Subjective Evaluation ◽  
Research Performance ◽  
Analytic Network Process ◽  
Integrated System ◽  
Management Technique ◽  
Data Envelopment ◽  
Network Process ◽  
Multi Attribute Decision Making

One of the fundamental issues facing universities, research centers and institutes of higher education is the absence of an integrated system for performance evaluation. Data Envelopment Analysis (DEA) is a mathematical and management technique for evaluation of Decision Making Units (DMUs) with multiple input and output. The original DEA does not perform full-ranking; instead, it merely provides classification into two groups: efficient and inefficient. Among the available multi-attribute decision-making methods only Analytic Network Process (ANP) can be used to evaluate performance systematically due to the dependencies and feedbacks caused by the mutual effects of the criteria. The DEA-ANP hybrid algorithm, is designed to eliminate the disadvantage of full-ranking in the DEA method, as well as the disadvantage of subjective evaluation in the ANP method. The goal of this chapter is measuring educational and research performance of seventeen faculties, for the academic year 2009-2010, by using the DEA-ANP hybrid algorithm.

Development of KM-Based Multi-Criteria Decision-Making Method for Evaluation of 4-Axis CNC Machine Tool

2012 ◽  
Vol 163 ◽  
pp. 143-150 ◽  
Author(s):  
Jo Peng Tsai ◽  
Hsin Yu Cheng ◽  
Jen Her Wu ◽  
Rong Shean Lee
Keyword(s):  
Decision Making ◽  
Machine Tool ◽  
Fuzzy Ahp ◽  
Research Direction ◽  
Analytic Network Process ◽  
Decision Quality ◽  
Chain Model ◽  
Multi Criteria Decision Making ◽  
Cnc Machine ◽  
Network Process

Facing the increasing competitive environment of globalization, companies are forced to make careful decisions so as to get the competitive advantage. The analytic hierarchy process (AHP) method has be proposed and popularly applied in many disciplines over three decades. In the past, many scholars also developed various improved methods such as Delphi AHP , fuzzy AHP, or Analytic Network Process (ANP) to enhance the decision quality. However, all the current AHP related methods have no function to provide enough reference information and a friendly environment to support the decision makers. Recently, Knowledge Management (KM) has attracted a great deal of interest in industry and academy. Therefore, in this paper, we proposed a KM-based AHP decision-making method to provide the questionnaire designer a guideline or reference and developed a decision-support web questionnaire system based on the knowledge chain model. A case study of selecting a 4-axis machine tool was illustrated the implementation and applicability of this method, a mold manufacturing company was invited as the survey objective. The method proposed in this research provides a different research direction and it is general in form to be applied for the other multi-criteria decision making cases.

An Integrated Methodology for the Emergency Logistics Centers Location Selection Problem and its Application for the Turkey Case

2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Umut Rifat Tuzkaya ◽  
Kadriye Busra Yilmazer ◽  
Gulfem Tuzkaya
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Analytic Network Process ◽  
Weight Changes ◽  
Location Selection ◽  
Expert Opinions ◽  
Integrated Methodology ◽  
Emergency Logistics ◽  
Network Process ◽  
Selection Methodology

AbstractUrgent response is vitally important after unpredictable disasters and it is highly dependent to the location of the emergency centers. Considering this importance degree, in this study, a location selection methodology for emergency logistics centers (ELCs) is proposed. There are various influencing factors or criteria to choose the most convenient locations for ELCs. However, we focused on some of the most important and prior criteria to obtain a more feasible approach and less calculation intensity. The main point is ranking and weighting the convenient locations or cities for constructing an ELC in a region or country. The alternative locations are chosen through the mostly natural disaster-prone cities. Decision criteria are determined according to the expert opinions. Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) methods are integrated to determine the convenient locations considering the relations between criteria and alternative locations. Afterwards, a real life application of the proposed methodology is realized for the Turkey case. Finally, results are examined and analyzed in terms of their sensitivity on the criteria weight changes.

scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo
Keyword(s):  
Decision Making ◽  
Management System ◽  
Evaluation System ◽  
Safety Management ◽  
Analytic Network Process ◽  
Performance Criterion ◽  
Questionnaire Data ◽  
Safety Management System ◽  
International Airport ◽  
Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

scholarly journals Integration of AHP and GTMA to Make a Reliable Decision in Complex Decision-Making Problems: Application of the Logistics Provider Selection Problem as a Case Study

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 766
Author(s):  
Danijela Tuljak-Suban ◽  
Patricija Bajec
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Third Party ◽  
Selection Problem ◽  
New Method ◽  
Analytic Hierarchy ◽  
Decision Making Problem ◽  
Network Process ◽  
Complex Decision Making ◽  
Complex Decision

When solving a Multi-Criteria Decision-Making problem of any degree of complexity, many researchers rely on the analytic hierarchy process (AHP). To consider mutual connections between criteria and clusters at the same level and not only the hierarchical structure between criteria and subcriteria, researchers often upgrade from AHP to the Analytic Network Process (ANP), which also examines the interdependency of criteria. However, the ANP method requires a large number of pairwise comparisons. In the case of a complex decision-making problem, the authors of this paper suggest upgrading the AHP method with the graph theory and matrix approach (GTMA) for several reasons: (1) The new method is based on digraphs and permanent value computation, which does not require a hypothesis about interdependency; (2) in case of similar alternatives, the distinguishable coefficient of the new method is higher than those computed for AHP and ANP; (3) the new method allows decision makers to rank comparable alternatives and to combine structurally similar methods without increasing the number of comparisons and the understanding of the results. The developed method (AH-GTMA) is validated by a numerical example of a complex decision-making problem based on a symmetrical set of similar alternatives, a third party logistic provider (3PLP) selection problem.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

An Uncertain Decision Making Process Considering Customers and Services in Evaluating Banks

2014 ◽  
pp. 1115-1150
Author(s):  
Fatemeh Akbari ◽  
Hamed Fazlollahtabar ◽  
Iraj Mahdavi
Keyword(s):  
Decision Making ◽  
Service Quality ◽  
Customer Relationship ◽  
Fuzzy Decision Making ◽  
Decision Making Process ◽  
Service Firms ◽  
Fuzzy Dematel ◽  
Fuzzy Anp ◽  
Network Process ◽  
Good Relation

In today's changing environment two properties are required to service namely good relation with customers and service quality. Nowadays no organization can get great achievement unless it can attract sufficient customers providing better service quality is important for service firms. This paper proposes a novel combined approach utilizing group decision making process to evaluate and rank criteria influencing the customer relationship management and service quality of four banks in Iran based on fuzzy decision making trial and evaluation laboratory (Fuzzy DEMATEL) and fuzzy analytic network process (Fuzzy ANP). Defuzzification of decision makers' judgments is handled by Converting Fuzzy data into Crisp Scores (CFCS) method. Fuzzy DEMATEL is applied to deal with inner dependencies among criteria. Fuzzy ANP is used to compute final ranking of four banks as an empirical example. An empirical study is presented to illustrate the application of the proposed method.

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