scholarly journals An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances

2020 ◽  
Vol 12 (4) ◽  
pp. 1602 ◽  
Author(s):  
Koray Altintas ◽  
Ozalp Vayvay ◽  
Sinan Apak ◽  
Emine Cobanoglu
Keyword(s):  
Fuzzy Ahp ◽  
Composite Index ◽  
Multicriteria Decision Making ◽  
Complex Nature ◽  
Technological Advancement ◽  
Energy Sustainability ◽  
Analytic Hierarchy ◽  
Related Services ◽  
Criteria Weights ◽  
National Governments

In an age of rapid technological advancement, the increasing need for energy and its related services to satisfy economic and social development has become a critical concern of national governments worldwide. This has triggered researchers to work on metrics for tracking and tracing energy sustainability in order to provide monitoring mechanisms for policy makers. In this regard, multicriteria decision-making (MCDM) methods are becoming more popular to deal with the multidimensional and complex nature of sustainability. We have proposed an extended and revised version of the grey relational analysis (GRA) method, which is integrated with the fuzzy analytic hierarchy process (AHP), to develop a new composite index for comparing the overall energy sustainability performances of 35 OECD member countries. Our case study revealed the performances of selected countries by providing their strengths and weaknesses based on determined criteria as well as the level of change in performances with different criteria weights. The proposed GRA model can be used in different applications of sustainability due to its flexible nature, which provides benefits from goal-oriented extensions in order to adequately capture different aspects of sustainability.

scholarly journals Evaluating the Efficiency of Industrialization Process in Prefabricated Residential Buildings Using a Fuzzy Multicriteria Decision-Making Method

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Huakang Liang ◽  
Shoujian Zhang ◽  
Yikun Su
Keyword(s):  
Residential Buildings ◽  
Fuzzy Ahp ◽  
Composite Index ◽  
Residential Building ◽  
Multicriteria Decision Making ◽  
Decision Support Tool ◽  
Fuzzy Topsis ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Industrialization Process

To alleviate the housing pressure and achieve a sustainable society, prefabricated residential building (PRB) has witnessed rapid growth in recent years. The usage of prefabricated components in the building represents a significant indicator that is traditionally used to differentiate the PRB from the traditional building. However, it cannot provide details on the efficiency of the industrialization process in the PRB. The main goal of this paper is to develop a composite index to measure the multidimensional concept of industrialization efficiency. Fuzzy Analytic Hierarchy Process (fuzzy AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (fuzzy TOPSIS) are applied to combine the hierarchical structure of indicators into one overall index. Finally, the industrialization efficiency assessment of three PRBs is chosen as a case to illustrate the effectiveness of the method. It can effectively quantify experts’ linguistic expressions on the performance of the PRB in different established indicators. This research can provide a decision support tool to assess and continuously promote the improvement of industrialization production in the housing industry.

scholarly journals A COMBINED FUZZY MCDM APPROACH FOR IDENTIFYING THE SUITABLE LANDS FOR URBAN DEVELOPMENT: AN EXAMPLE FROM BANDAR ABBAS, IRAN

2014 ◽  
pp. 11-27 ◽  
Author(s):  
Mohsen Dadras ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Noordin Ahmad ◽  
Biswajeet Pradhan ◽  
Sahabeh Safarpour
Keyword(s):  
Urban Development ◽  
Iraq War ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Analytic Hierarchy ◽  
The Past ◽  
Criteria Weights ◽  
Bandar Abbas ◽  
Hierarchy Process ◽  
The City

This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity analysis of the results is included in the research.

scholarly journals A Multicriteria Decision-Making Approach Based on Fuzzy AHP with Intuitionistic 2-Tuple Linguistic Sets

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Shahzad Faizi ◽  
Tabasam Rashid ◽  
Sohail Zafar
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Preference Relation ◽  
Multicriteria Decision Making ◽  
Transformation Mechanism ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Linguistic Representation ◽  
Representation Model ◽  
Linguistic Preference Relation

In the modern literature related to linguistic decision-making, the 2-tuple linguistic representation model and its useful applications in various fields have been extensively studied and used during the last decade. Recently, some useful multicriteria decision-making (MCDM) methods have been introduced based on fuzzy analytic hierarchy process (AHP) for 2-tuple linguistic representation model. By keeping in mind the importance of this linguistic model, in this paper, we introduce a fuzzy AHP methodology for intuitionistic 2-tuple linguistic sets (I2TLSs) which is a useful extension of the 2-tuple linguistic representation model. This study is comprised of four stages. In the first stage, we define some operational laws for I2TL elements (I2TLEs) and prove some related important properties. In the second stage, intuitionistic 2-tuple linguistic preference relation (I2TLPR) and multiplicative I2TLPR are defined using I2TLSs. In the 3rd stage, a transformation mechanism is introduced which can transform an I2TLPR to a corresponding intuitionistic preference relation (IPR) and vice versa. In the fourth stage, an approach is proposed for checking the consistency of an I2TLPR and presented a method to repair the inconsistent one by using the proposed transformation mechanism. Finally, a numerical example is given and comparative analysis is carried out with the TOPSIS method to verify the validity of the proposed method.

“WHAT’S FOREIGN IS BETTER”: A FUZZY AHP ANALYSIS TO EVALUATE FACTORS THAT INFLUENCE FOREIGN PRODUCT CHOICE AMONG INDIAN CONSUMERS

2020 ◽  
Vol 12 (3) ◽  
Author(s):  
Amanish Lohan ◽  
Anirban Ganguly ◽  
Chitresh Kumar
Keyword(s):  
Fuzzy Ahp ◽  
Perceived Quality ◽  
Technological Advancement ◽  
Purchasing Behavior ◽  
Analytic Hierarchy ◽  
Foreign Product ◽  
Product Categories ◽  
Home Appliances ◽  
Indian Consumers ◽  
Foreign Brands

Emerging economies across the globe have observed drastic changes in consumer purchasing behavior in the last three decades. This has been attributed to rapid globalization, coupled with technological advancement that has led to consumer affinity towards foreign brands. In this paper an attempt has been made to understand this affinity towards foreign brands across product categories. We used the Fuzzy Analytic Hierarchy Process to evaluate the factors that influence foreign product purchasing behavior among Indian consumers. A set of five important influencing factors were identified and responses from over 100 Indian consumers were collected across five product categories (automobiles, home appliances, apparel, cosmetics and watches). It was found that for apparel, watches and cosmetics, perceived quality of the brand/product was the most valued attribute. Whereas, for home appliances the country of origin mattered the most, and for watches perceived quality as well as country of manufacture were equally important. The findings of this study will help shape marketing strategies for foreign brands trying to make inroads or gain market share in emerging markets like India

scholarly journals Evaluation of Influenza Intervention Strategies in Turkey with Fuzzy AHP-VIKOR

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Funda Samanlioglu
Keyword(s):  
Fuzzy Ahp ◽  
Intervention Strategy ◽  
Multiple Criteria Decision Making ◽  
Intervention Strategies ◽  
Analytic Hierarchy ◽  
Medicine Physician ◽  
Criteria Weights ◽  
Hierarchy Process ◽  
Internal Medicine Physician

In this study, a fuzzy AHP-VIKOR method is presented to help decision makers (DMs), especially physicians, evaluate and rank intervention strategies for influenza. Selecting the best intervention strategy is a sophisticated multiple criteria decision-making (MCDM) problem with potentially competing criteria. Two fuzzy MCDM methods, fuzzy analytic hierarchy process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR), are integrated to evaluate and rank influenza intervention strategies. In fuzzy AHP-VIKOR, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is implemented to rank the strategies with respect to the presented criteria. A case study is given where a professor of infectious diseases and clinical microbiology, an internal medicine physician, an ENT physician, a family physician, and a cardiologist in Turkey act as DMs in the process.

scholarly journals A Hybrid Fuzzy Multi-Criteria Decision-Making Model to Evaluate the Overall Performance of Public Emergency Departments: A Case Study

2020 ◽  
Vol 19 (06) ◽  
pp. 1485-1548
Author(s):  
Miguel Ortiz-Barrios ◽  
Juan-Jose Alfaro-Saiz
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Emergency Departments ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Fuzzy Decision Making ◽  
Analytic Hierarchy ◽  
Interactive Nature ◽  
Criteria Weights ◽  
Public Emergency

Performance evaluation is relevant for supporting managerial decisions related to the improvement of public emergency departments (EDs). As different criteria from ED context and several alternatives need to be considered, selecting a suitable Multicriteria Decision-Making (MCDM) approach has become a crucial step for ED performance evaluation. Although some methodologies have been proposed to address this challenge, a more complete approach is still lacking. This paper bridges this gap by integrating three potent MCDM methods. First, the Fuzzy Analytic Hierarchy Process (FAHP) is used to determine the criteria and sub-criteria weights under uncertainty, followed by the interdependence evaluation via fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL). The fuzzy logic is merged with AHP and DEMATEL to illustrate vague judgments. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used for ranking EDs. This approach is validated in a real 3-ED cluster. The results revealed the critical role of Infrastructure (21.5%) in ED performance and the interactive nature of Patient safety ([Formula: see text]). Furthermore, this paper evidences the weaknesses to be tackled for upgrading the performance of each ED.

scholarly journals Evaluation of the COVID-19 Pandemic Intervention Strategies with Hesitant F-AHP

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Funda Samanlioglu ◽  
Burak Erkan Kaya
Keyword(s):  
Clinical Microbiology ◽  
Fuzzy Ahp ◽  
Intervention Strategy ◽  
Pairwise Comparison ◽  
Multicriteria Decision Making ◽  
Intervention Strategies ◽  
Analytic Hierarchy ◽  
Infectious Disease Physician ◽  
Country Level ◽  
Hierarchy Process

In this study, a hesitant fuzzy AHP method is presented to help decision makers (DMs), especially policymakers, governors, and physicians, evaluate the importance of intervention strategy alternatives applied by various countries for the COVID-19 pandemic. In this research, a hesitant fuzzy multicriteria decision making (MCDM) method, hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP), is implemented to make pairwise comparison of COVID-19 country-level intervention strategies applied by various countries and determine relative importance scores. An illustrative study is presented where fifteen intervention strategies applied by various countries in the world during the COVID-19 pandemic are evaluated by seven physicians (a professor of infectious diseases and clinical microbiology, an infectious disease physician, a clinical microbiology physician, two internal medicine physicians, an anesthesiology and reanimation physician, and a family physician) in Turkey who act as DMs in the process.

scholarly journals Optimization of Urban Highway Bypass Horizontal Alignment: A Methodological Overview of Intelligent Spatial MCDA Approach Using Fuzzy AHP and GIS

2014 ◽  
Vol 2014 ◽  
pp. 1-26 ◽  
Author(s):  
Yashon O. Ouma ◽  
Chepng’etich Yabann ◽  
Mark Kirichu ◽  
Ryutaro Tateishi
Keyword(s):  
Land Use ◽  
Fuzzy Ahp ◽  
Road Networks ◽  
Multicriteria Decision Making ◽  
Least Cost Path ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Prioritization Process ◽  
Location Determination ◽  
Drainage Networks

Selection of urban bypass highway alternatives involves the consideration of competing and conflicting criteria and factors, which require multicriteria decision analysis. Analytic hierarchy process (AHP) is one of the most commonly used multicriteria decision making (MCDM) methods that can integrate personal preferences in performing spatial analyses on the physical and nonphysical parameters. In this paper, the traditional AHP is modified to fuzzy AHP for the determination of the optimal bypass route for Eldoret town in Kenya. The fuzzy AHP is proposed in order to take care of the vagueness type uncertainty encountered in alternative bypass location determination. In the implementation, both engineering and environmental factors comprising of physical and socioeconomic objectives were considered at different levels of decision hierarchy. The results showed that the physical objectives (elevation, slope, soils, geology, and drainage networks) and socioeconomic objectives (land-use and road networks) contributed the same weight of 0.5 towards the bypass location prioritization process. At the subcriteria evaluation level, land-use and existing road networks contributed the highest significance of 47.3% amongst the seven decision factors. Integrated with GIS-based least cost path (LCP) analysis, the fuzzy AHP results produced the most desirable and optimal route alignment, as compared to the AHP only prioritization approach.

scholarly journals An analysis of the influence of organizational leadership on innovation management using the Fuzzy-AHP method

2021 ◽  
Vol 14 (3) ◽  
pp. 521-544
Author(s):  
Roger Da Silva Wegner ◽  
Julia Tontini ◽  
Vânia Medianeira Flores Costa ◽  
Arthur Muller Junior ◽  
Deoclécio Junior Cardoso da Silva
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Innovation Management ◽  
Fuzzy Ahp ◽  
Technological Advancement ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Management Perspective ◽  
Management Area ◽  
Hierarchy Process

Purpose – The changes that occurred in the market, resulting from technological advancement, made companies pay attention to innovation in their processes, products or services, as a way to stand out. To enhance innovation in companies, focusing on leadership is an effective way. In this sense, the present study aimed to develop a model in order to list the priorities related to leadership and its interface with innovation, under the top management perspective of a telecommunications company.Design/methodology/approach – For the development of the model, the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) method was used to identify such factors and the best alternatives so that the investigated company can make consistent decisions. Thus, the criteria chosen by the Manager and Director were discovered, as well as the alternatives that they cherish, contributing to the development of innovation within the company.Findings – The results showed that the perception of the two interviewees was similar, however, it is emphasized that they should better choose how to apply innovation within the company.Originality/value – This study opens the way to highlight the importance of the theme of leadership and its interface with innovation for professionals in the management area, favoring decision making, in addition to contributing to the literature, deepening the debate on the theme of leadership and innovation, which is still incipient and needs development.

An intelligent approach for the evaluation of transformers in a power distribution project

2020 ◽  
Vol 39 (3) ◽  
pp. 4133-4145
Author(s):  
Funda Samanlioglu ◽  
Zeki Ayağ
Keyword(s):  
Power Distribution ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Promethee Ii ◽  
Order Preference ◽  
Criteria Weights ◽  
Intelligent Approach

In this study, a hybrid approach is presented for the evaluation and selection of transformers in a power distribution project. Ranking transformers and selecting the best among alternatives is a complex multiple criteria decision making (MCDM) problem with various possibly conflicting quantitative and qualitative criteria. In this research, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy Preference Ranking Organization Method for Enriching Evaluations II (hesitant F-PROMETHEE II) are combined to evaluate and rank transformers. In the hesitant fuzzy AHP-PROMETHEE II, hesitant F-AHP is implemented to determine criteria weights and hesitant F-PROMETHEE II is applied to rank transformer alternatives, utilizing obtained criteria weights. An illustrative example is presented to demonstrate the effectiveness and applicability of the proposed approach. In the example, five transformers are evaluated based on twelve criteria by three decision makers (DMs) and best alternative is selected. For comparison analysis, integration of hesitant F-AHP and hesitant fuzzy Technique for Order Preference by Similarity to Ideal Solution (hesitant F-TOPSIS) is used and results are compared.

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