scholarly journals Identification and Evaluation of Parameters Influencing the selection of Finance Project Contractors of Mashhad Water and Wastewater Company Using an AHP and Fuzzy Pramty

2015 ◽  
Vol 10 (Special-Issue1) ◽  
pp. 184-192
Author(s):  
Yoones Mazaheri-Zadeh ◽  
Zahra Naji-Azimi
Keyword(s):  
Fuzzy Ahp ◽  
Decision Makers ◽  
Factors Affecting ◽  
Promethee Method ◽  
Mashhad City ◽  
Evaluation Of Parameters ◽  
Water And Wastewater ◽  
First Time ◽  
Fuzzy Promethee ◽  
Selection Of

For managers and decision-makers, selecting the contractor is a key decision given this fact that the contractor plays a fundamental role in any outsourced project. So, identifying and evaluating the contractors selection criteria will result in eliminating inefficient contractors from the tender process. It is needed to collect and process these criteria in order to maximize the performance of selected contractors, and to minimize the errors and mistakes in fulfilling the society needs and organization standards. Obviously, many quantitative and qualitative indicators of different importance are involved in determining the contractors' eligibility. In this paper, we are to identify the factors affecting the selection of contractors, and then, to determine the importance levels of the factors and prioritize the contractors by combining the multi-criteria methods of fuzzy AHP and fuzzy PROMETHEE. This is the first time to implement this hybrid method for solving the contractor selection problem. In this regard, first, the criteria are identified and their weights are calculated using the fuzzy AHP technique, then premier contractor is selected using the fuzzy PROMETHEE method. A real application to select finance projects' contractor in the Water and Wastewater Company of Mashhad city is considered as the base problem.

scholarly journals Multi-Criteria Group Decision-Making for Selection of Green Suppliers under Bipolar Fuzzy PROMETHEE Process

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 77 ◽  
Author(s):  
Muhammad Akram ◽  
Shumaiza ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Fuzzy Numbers ◽  
Preference Ranking ◽  
Preference Functions ◽  
Promethee Method ◽  
Usual Criterion ◽  
Green Suppliers ◽  
Bipolar Fuzzy Sets ◽  
Fuzzy Linguistic ◽  
Fuzzy Promethee ◽  
Selection Of

The preference ranking organization method for enrichment of evaluations (PROMETHEE) method considers a significant outranking class of multi-criteria decision analysis (MCDA), as it is easy to deal with its simple computations. In the PROMETHEE, different preference functions are used according to the type and nature of attributes or criteria that demonstrate the clearness and reliability of this method. This study provides a new version of the PROMETHEE method using bipolar fuzzy information, named the bipolar fuzzy PROMETHEE method. Bipolar fuzzy sets or numbers constitute an asymmetrical relationship between two judgmental factors of human reasoning. Vague and imprecise knowledge is characterized by bipolar fuzzy linguistic terms which are further represented in the form of trapezoidal bipolar fuzzy numbers. The trapezoidal bipolar fuzzy numbers are used by analysts to assign the preferences of alternatives on the basis of criteria. Further, a ranking function of bipolar fuzzy numbers is considered to access the crisp real preferences of alternatives. The entropy weighting information is employed to calculate the weights of attributes by considering the condition of normality. A numerical example such as the selection of green suppliers by using the bipolar fuzzy PROMETHEE is performed on the basis of the usual criterion preference function in order to explain the procedure of the proposed method. Comparable results are derived by using the combination of linear and level preference functions. The results obtained by using different types of preference functions are the same, representing the authenticity of the proposed bipolar fuzzy PROMETHEE method.

scholarly journals Factors Affecting Hospital Choice Decisions: an exploratory study of healthcare consumers in Northern India

2016 ◽  
Vol 11 (1) ◽  
pp. 76-84 ◽  
Author(s):  
Vishal Kamra ◽  
Harjot Singh ◽  
Kalyan Kumar De
Keyword(s):  
Family Income ◽  
Family Members ◽  
Healthcare Services ◽  
Decision Makers ◽  
Factors Affecting ◽  
Hospital Choice ◽  
Northern India ◽  
Clinical Support ◽  
Selection Of ◽  
Structured Questionnaire

This study examines the factors affecting hospital choice decisions by patients for tertiary level healthcare services and the relationships of these factors with respondent demographics. It also categorises the decision makers involved in the selection of hospitals. Data were collected from in-patients of multispecialty hospitals located in northern India with the help of a structured questionnaire. Factor analysis, ANOVA and t-test techniques have been employed to analyse the data. The study has revealed that the factors that affect hospital choice decisions of patients are basic amenities, reputation and quality, building and infrastructure, ease and affordability, personal substances (experiences), responsiveness of services, recommendations and suggestions, clinical support, privacy and information sharing, and range of services. The study has also revealed that various categories of respondent demographics, namely, age, gender, residence, education and monthly family income are significantly different statistically (P<.05) with respect to the identified factors. It has been found that most of the time family members, doctors or a combination of family members and doctors make the decisions to choose the hospital. It has also been found that friends/ relatives and patients themselves choose the hospital in some cases.

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  

New hybrid AHP-QFD-PROMETHEE decision-making support method in the hesitant fuzzy environment: an application in packaging design selection

2021 ◽  
pp. 1-17
Author(s):  
Byanca Porto de Lima ◽  
Fernando Augusto Silva Marins ◽  
Aneirson Francisco da Silva
Keyword(s):  
Decision Making ◽  
Quality Function Deployment ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Preference Ranking ◽  
Packaging Design ◽  
Promethee Ii ◽  
Promethee Method ◽  
Design Selection ◽  
Decision Making Support

This paper presents a new hybrid decision-making support method (New Hesitant Fuzzy AHP-QFD-PROMETHEE II Method), which jointly uses the Analytic Hierarchy Process (AHP), the Quality Function Deployment (QFD) and the Preference Ranking Method for Enrichment Evaluation (PRO-METHEE II), as well as the Hesitant Fuzzy Linguistic Term Sets (HFLTS) to capture hesitation and aggregate divergent opinions from different experts. A real application of the new method to a packaging design selection problem for an automotive company is described, finding that AHP assisted in determining the importance of QFD’s customer requirements (CRs) and PROMETHEE II was used to select the best packaging design. With this same problem, for the purpose of validating the proposed method, a comparative analysis was made with the use of the Hesitant Fuzzy AHP-QFD-TOPSIS method and also with the traditional AHP-QFD-PROMETHEE method, which makes it impossible to capture the hesitation of decision makers. The result showed similarity in the rankings of design alternatives found in the three methods application. The proposed method proved advantageous for solving problems that can generally be solved with the QFD House of Quality but have serious difficulties when decision makers have divergent opinions and hesitate in evaluating criteria and alternatives.

The Study on the Strategy of Bidding Project Selection Based on Fuzzy AHP in Network-Based Manufacturing

2010 ◽  
Vol 29-32 ◽  
pp. 2345-2349
Author(s):  
Xian Zhang
Keyword(s):  
Fuzzy Ahp ◽  
Project Selection ◽  
Correct Decision ◽  
Key Factors ◽  
Factors Affecting ◽  
Ahp Model ◽  
Basic Organization ◽  
Cooperative Project ◽  
Selection Of

Enterprise alliance is a basic organization which achieves network-based manufacturing. One of the key factors which affect the enterprise alliance’s buildup is that the candidate enterprise can make a correct decision in the selection of a cooperative project. This paper proposes a fuzzy AHP model to select the bid projects made by the leaguers to be selected basing on the analysis of the inportance of these bid projects. This model provides a comprehensive consideration for the various evaluation factors affecting the selection of a bid project. According to this model, candidate enterprise can select a bid project correctly.

scholarly journals Decision Making using Fuzzy PROMETHEE for Reverse Supply Chain Management Outsourcing

2019 ◽  
Vol 8 (4S2) ◽  
pp. 255-259
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Decision Makers ◽  
Preference Ranking ◽  
Chain Process ◽  
Reverse Supply Chain ◽  
Chain Management ◽  
Supply Chain Process ◽  
Fuzzy Promethee ◽  
Selection Of

The rising awareness about environmental issues and the need to outrank the competitors necessitates reverse supply chain management. By implementing reverse supply chain process, the industries are able to recapture the products value and can minimize the production cost. The implementation of reverse supply chain management requires huge investment and upgraded technology. Hence most of the manufacturing sectors are outsourcing reverse supply chain management. When it comes to outsourcing, selection of appropriate supplier becomes a problem for industries. In this study, fuzzy Preference Ranking Organization Method for Enrichment Evaluation (fuzzy PROMETHEE) methodology is applied to select the best reverse supply chain management from five alternatives by four decision makers considering ten factors.

scholarly journals Selection of Rifle Caliber in Rearming Process of the Serbian Army

2021 ◽  
Author(s):  
Željko Jokić ◽  
Boris Delibašić ◽  
Aca Ranđelović
Keyword(s):  
Sustainable Development ◽  
Research Question ◽  
Decision Makers ◽  
The Sustainable Development ◽  
Development Policies ◽  
The Republic ◽  
The Military ◽  
First Time ◽  
Research Show ◽  
Selection Of

Research Question: This paper recommends the method for selecting the optimal ammunition caliber for the automatic rifle that will be used to equip Serbian Army units. Motivation/idea: The selection of adequate caliber does not only represent a challenge for the decision-makers in the military, but also provides information to the industry to adjust to given requests. In the current conditions, the purpose-built industry of the Republic of Serbia is faced with two key tasks that are completely correlated: meeting the needs of the Serbian Army for quality ammunition and being competitive on the market. Accordingly, the purpose of this paper is to develop a qualitative model based on the DEX method and DEXi software applied in the selection of caliber ammunition for automatic rifles for the needs of members of the Serbian Army. This paper connects for the first time the qualitative DEX method with a product of this industry. Data / Tools: In order to meet the requirements of the multi-criteria decision-making, we developed the DEX model to be used to solve the problem of making decisions about the selection of optimal caliber for rearming the Serbian Army, as well as its cost-effectiveness. The alternatives are calibers for automatic rifles 7.62 mm and 5.56 mm that are currently in use in the Serbian Army, as well as the new 6.5 mm caliber which has been announced by the expert authorities. We defined the selection of criteria functions from technical and logistic standpoints. Using the DEX method and DEXi software enables us to obtain independent recommendations by applying different criteria. Findings: Results of this research show that the caliber is a very important component when it comes to army’s armament. At the same time, this question poses a challenge for the sustainable development of the weapons industry. As the optimal caliber, among the offered, after processing the input data in the DEXi software, the authors propose a caliber of 5.56 mm. This caliber dominates in most criteria and as such, it represents the best choice. Contribution: This paper contributes to the creation of sustainable development policies on the national and regional levels and it helps the key decision-makers in the military make decisions. Results of such and similar research, and the fact that the international market has a growing need for ammunition of this caliber should be guidelines for the domestic weapons industry for future development and investment.

Prioritization of Bank Selection Decision in Pandemic Process Using a Novel Decision-Making Model

2021 ◽  
pp. 477-492
Author(s):  
Ahmet Çalık ◽  
Bilge Afşar
Keyword(s):  
Decision Making ◽  
Interest Rate ◽  
Selection Criteria ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Selection Decision ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Selection Of

In Turkey, since March 2020, the pandemic process caused changes in the bank selection of consumers as it affected all other activities. Prioritization of bank selection criteria is a multi-criteria decision-making (MCDM) problem with conflicting criteria. In this study, the Pythagorean fuzzy analytic hierarchy process (PFAHP) is used to prioritize the selection criteria, it is aimed to provide more freedom for decision-makers in expressing their opinions. Not only quantitative criteria such as interest rate, ATM, and number of branches, but also the environmental and social impacts of the pandemic, the nine main criteria have been determined. As a result of interviews with different sectors, it was found that the loan interest rate is the most important criterion. The results were compared with different classical and fuzzy AHP methods, and it was found that the PFAHP method produced reliable and informative results that better represented the uncertainty of the decision-making process.

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