scholarly journals Selection of Marine Security Policy using Fuzzy-AHP TOPSIS Hybrid Approach

2019 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Hozairi Hozairi ◽  
Buhari Buhari ◽  
Heru Lumaksono ◽  
Marcus Tukan
Keyword(s):  
Set Theory ◽  
Security Policy ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Maritime Security ◽  
Comparison Process ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process ◽  
Selection Of

The research was focused on the integration of Fuzzy set theory with Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to choose the optimum maritime security policy to achieve Indonesia recognition as the world's maritime axis. The method used is AHP with fuzzy based enhancement. Here, the weight of each criterion is calculated to overcome the criticism of the scale of unbalanced rating, uncertainty, and inaccuracy in the pairwise of comparison process. The best recommendation for Indonesian maritime policies is multi task single agency which is greatly infuenced by several factors such as technology, regulations, infrastructure, economic, politic, and socio-culture.  The finding shows that the hybrid approach is able to produce the best recommendation for Indonesian maritime security policy.

scholarly journals Integrating Fuzzy AHP and Fuzzy ARAS for evaluating financial performance

2014 ◽  
Vol 32 (2) ◽  
pp. 163 ◽  
Author(s):  
Abdolhamid Safaei Ghadikolaei ◽  
Saber Khalili Esbouei
Keyword(s):  
Performance Evaluation ◽  
Financial Performance ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Analytic Hierarchy ◽  
Fuzzy Environment ◽  
Parts Manufacturing ◽  
Hierarchy Process

Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybrid approach of MCDM methods in fuzzy environment for financial performance evaluation of automotive and parts manufacturing industry of Tehran stock exchange (TSE).for this purpose Fuzzy analytic hierarchy process (FAHP) is applied to determine the relative important of each criterion, then The companies are ranked according their financial performance by using fuzzy additive ratio assessment (Fuzzy ARAS) method. The finding of this study showed effective of this approach in evaluating financial performance.

scholarly journals Assessing the Human Resource in Science and Technology for Asian Countries: Application of Fuzzy AHP and Fuzzy TOPSIS

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 251 ◽  
Author(s):  
Ying-Chyi Chou ◽  
Hsin-Yi Yen ◽  
Van Thac Dang ◽  
Chia-Chi Sun
Keyword(s):  
Human Resource ◽  
Fuzzy Ahp ◽  
Science And Technology ◽  
Fuzzy Topsis ◽  
Southeast Asian ◽  
Asian Countries ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process ◽  
Southeast Asian Countries

The fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are extremely beneficial when a decision-making process is complex. The reason is that AHP and TOPSIS can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria and can thus generate an overall ranking of the alternatives. This study uses fuzzy AHP and fuzzy TOPSIS to evaluate the human resource in science and technology (HRST) performance of Southeast Asian countries. The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance. That is, these three countries have better HRST performances than other Southeast Asian countries.

Application of Fuzzy AHP to the Comparison and Selection of Cement Concrete Pavement Overlaying Schemes

2011 ◽  
Vol 243-249 ◽  
pp. 4302-4306
Author(s):  
Ji Feng Liang ◽  
Xie Dong Zhang ◽  
Lei Wu
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Comprehensive Analysis ◽  
Concrete Pavement ◽  
Cement Concrete ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Cement Concrete Pavement ◽  
Hierarchy Process ◽  
Selection Of

Based on a comprehensive analysis of the influencing factors and special features of cement concrete pavement overlaying technology, a fuzzy analytic hierarchy process (AHP) model is constructed for the comparison and selection of overlaying schemes. At first, the numerical weight for each criterion of the hierarchy is derived and tested. Then the feature matrices of all the schemes are constructed based on experts’ evaluation. The optimal scheme is chosen according to the numerical priorities of each scheme yielded by fuzzy calculation.

scholarly journals Assessment of the Potential of Offshore Wind Energy in Taiwan using Fuzzy Analytic Hierarchy Process

2010 ◽  
Vol 4 (1) ◽  
pp. 96-104 ◽  
Author(s):  
Tsung-Lin Lee
Keyword(s):  
Wind Energy ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Offshore Wind ◽  
Fuzzy Analytic Hierarchy Process ◽  
Offshore Wind Energy ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Selection Of

In this paper, the application of the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) combined with a set of criteria analysis for the selection of appropriate sites for the development offshore wind energy in Taiwan is presented. The Fuzzy AHP was first conducted to rank the importance and identify the key factors of offshore wind energy successfully. From the numerical results, eight key factors that must be considered in the site selection of offshore wind energy system in Taiwan were obtained by using Fuzzy AHP model. They are: wind power, earthquakes, land use, shore type, typhoon, distance to shoreline, flight safety and water depth. Based on these factors, a set of criteria for the selection of sites for offshore wind farms was also established using five different sites in Taiwan. From the assessment results, it was found that Changhua coastal region is an appropriate site for offshore wind energy in Taiwan.

Application of Hybrid VIKOR Model in Selection of Maintenance Strategy

2012 ◽  
Vol 5 (2) ◽  
pp. 59-81 ◽  
Author(s):  
M. Ilangkumaran ◽  
S. Kumanan
Keyword(s):  
Textile Industry ◽  
Maintenance Strategy ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Insight Into ◽  
Selection Of

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.

scholarly journals Evaluate and Rank the Smartphone Brand Using Fuzzy AHP and PROMETHEE

2019 ◽  
Vol 14 (2) ◽  
pp. 44-51
Author(s):  
Diana Sirmayunie Mohd Nasir ◽  
Nurshahira Zawawi ◽  
Suzanawati Abu Hasan
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
System Memory ◽  
Future Work ◽  
Hierarchy Process ◽  
Selection Of

A buying decision process is one of the Multi-Criteria Decision Making (MCDM) problems faced by everyone in daily life. One example is the selection of smartphones brand in the market. Thus, the study is conducted to evaluate the most effective criteria for buying smartphones and to rank the people's preferences on smartphone based on its brand. Six criteria (price, operating system, memory, display, camera and battery) and three alternatives which are the smartphone brands (Oppo, Samsung and Apple) were chosen in the study. Two main processes were involved, which are 1) evaluate the smartphone criteria using Fuzzy Analytic Hierarchy Process (AHP) and 2) ranking the brand using Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). Surveys and questionnaires were conducted and evaluated by decision makers who are the smartphone's users. The result showed storage memory is considered as prominent criteria in choosing a smartphone meanwhile the consumers firstly prefer Oppo, secondly Apple and thirdly Samsung. Future work in this study may use other alternatives to be ranked by considering other top models as well. Keywords: Multiple criteria decision making, smartphone brand, Fuzzy AHP, Fuzzy PROMETHEE  

scholarly journals A MULTI-ATTRIBUTE DECISION SUPPORT MODEL FOR THE SELECTION OF TOURISTIC ACTIVITIES

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
Sait Gul ◽  
Ilker Topcu
Keyword(s):  
National Income ◽  
Decision Support Model ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
National Economies ◽  
Hierarchy Process ◽  
Selection Of

<p>People who wish to travel or participate in a touristic activity often do not have certain information about available travel destinations, group tours, and touristic events. Furthermore, they have their own personal expectations and preferences, especially regarding time and budget limitations. Therefore, they do not want to spend their limited time collecting information about travelling instead of actually travelling. Besides, the individualistic dimensions of tourism planning and marketing studies have a significant importance on national economies all over the world, particularly for nations whose tourism income is becoming a bigger share of their total national income. This study aims to develop a touristic suggestion model for tourist candidates with regards to their personal expectations and preferences about tourism. The Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution TOPSIS multi-attribute decision-making methods are used in this study to analyze the problem. The proposed model was built in three main phases: structuring, modeling and analyzing. The AHP method was used for prioritizing the related criteria obtained from the tourist candidates, and then TOPSIS was used for assessing global preference of alternatives. Finally, a recommendation to the decision maker is made with the most appropriate alternative.</p>

A Fuzzy AHP Model for 3PL Selection in Lead Logistics Provider Scenarios

2010 ◽  
pp. 261-277 ◽  
Author(s):  
Rajbir Singh Bhatti ◽  
Pradeep Kumar ◽  
Dinesh Kumar
Keyword(s):  
Service Providers ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
Decision Factors ◽  
Proposed Model ◽  
Using Data ◽  
Hierarchy Process ◽  
Selection Of

Selection of service providers in the global supply chains of today has been recognized as having a very important effect on the competitiveness of the entire supply chain. It results in achieving high quality end results (products and/or services), at reasonable cost coupled with high customer satisfaction. This article discusses the use of Fuzzy Analytic Hierarchy Process (FAHP) to effectively manage the qualitative and quantitative decision factors which are involved in the selection of providers of 3PL services under Lead Logistics Provider (LLP) environments of today. Lead logistics providers (LLP) are increasingly being banked upon to integrate the best of 3PL service providers and allow for synchronized and optimized operations. In the asset free environments of today, many a times, the LLP uses the services of the 3PL and hence the issue of reliably choosing them assumes increasingly greater significance. The fuzzy-AHP has been adequately demonstrated in literature to be an effective tool which can be used to factor-in the fuzziness of data. Triangular Fuzzy Numbers (TFN) have been deployed to make over the linguistic comparisons of criteria, sub-criteria and the alternatives. The FAHP based model formulated in this chapter is applied to a case study in the Indian context using data from three leading LSPs with significant operating leverages in the province of Uttrakhand (India). The proposed model can provide the guidelines and directions for the decision makers to effectively select their global service providers in the present day competitive logistics markets.

scholarly journals Decision Modeling for Manufacturing Sustainability with Fuzzy Analytic Hierarchy Process

2017 ◽  
Vol 20 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Lanndon A. Ocampo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Analytic Hierarchy Process ◽  
Manufacturing Strategy ◽  
Analytic Hierarchy ◽  
Priority List ◽  
Hierarchy Process

This article intends to integrate sustainability and the classical manufacturing strategy (MS) into a coherent hierarchical decision-making framework that identifies the content of a sustainable MS using fuzzy analytic hierarchy process (fuzzy AHP). Instead of using the traditional fundamental scale of the AHP, linguistic variables with equivalent triangular fuzzy numbers (TFNs) are used to elucidate judgement of elements in pairwise comparisons. AHP, as a widely adopted tool in multiple criteria decision making (MCDM) problems, effectively handles the subjectivity and comprehensiveness of decision-making complexity that is structured hierarchically. Domain experts in MS and sustainability were asked to elicit judgement in AHP pairwise comparison approach. Results show the content strategy of the nine decision categories in manufacturing that addresses sustainability and competitiveness. A priority list of decisions is also presented which may guide decision-makers in resource allocation, medium- and long-range planning, and in formulating strategic initiatives. The main contribution of this article is the formulation of a sustainable MS from a hybrid approach that captures uncertainty and subjectivity in decision-making.

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