scholarly journals Evaluating the Security Impact of Healthcare Web Applications Through Fuzzy Based Hybrid Approach of Multi-Criteria Decision-Making Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 135770-135783
Author(s):  
Alka Agrawal ◽  
Abhishek Kumar Pandey ◽  
Abdullah Baz ◽  
Hosam Alhakami ◽  
Wajdi Alhakami ◽  
...  
Keyword(s):  
Decision Making ◽  
Web Applications ◽  
Hybrid Approach ◽  
Multi Criteria Decision Making

scholarly journals Applying the Multi-Criteria Decision-Making Approach for Lawyer Selection from Law Firms’ Perspective in China

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1370
Author(s):  
Chin-Tsai Lin ◽  
Ching-Chiang Yeh ◽  
Fan Ye
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Law Firms ◽  
Multi Criteria Decision Making ◽  
Human Resource Managers ◽  
Law Firm ◽  
Analytic Hierarchy ◽  
Resource Managers ◽  
Hierarchy Process

This study proposes a novel evaluation model for lawyer selection incorporating the lawyer’s backbone leadership attitude employing the hybrid multi-criteria decision-making (MCDM) approach. In the proposed approach, the lawyer’s backbone leadership attitude is employed as an evaluation factor in the evaluation model for lawyer selection from law firms’ perspective. In this paper, a hybrid approach based on the Delphi technique and analytic hierarchy process (AHP) is proposed to manage qualitative and quantitative criteria for selecting the best alternative lawyer for law firms in China. Finally, a law firm in China is carried out to verify the feasibility of the proposed approach. Based on the result, the backbone leadership does provide valuable information in the evaluation model for lawyer selection. The results also revealed that the proposed approach would help law firms and human resource managers to understand and develop strategies to hire a lawyer.

Application of case-based reasoning and multi-criteria decision-making methods for material selection in petrochemistry

2015 ◽  
Vol 232 (3) ◽  
pp. 204-212 ◽  
Author(s):  
Aleksander F Berman ◽  
Galina S Maltugueva ◽  
Aleksander Y Yurin
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
Hybrid Approach ◽  
Construction Materials ◽  
Correct Selection ◽  
Case Based Reasoning ◽  
Multi Criteria Decision Making ◽  
Individual Ranking ◽  
Joint Application ◽  
Case Based

This paper describes a decision support approach for selecting construction materials in the field of petrochemistry. The correct selection of construction materials is the basis for the provision of durability, long lifetime, and the safety of the designed and upgraded equipment. The proposed hybrid approach is based on the joint application of case-based reasoning and multi-criteria decision-making methods, particularly the aggregation and ranking alternatives nearby the multi-attribute ideal situation (ARAMIS) and aggregation of individual ranking/ complex of aggregation of individual ranking (AIR/CAIR) methods are used. In turn, ARAMIS enables the processing of individual preferences, which are represented in the form of numeric and verbal estimates, and AIR/CAIR is used for processing rankings (strictly or partially ordered sets of alternatives). The primary advantage of this approach is that it considers the experience of previous successful solutions of the materials selection problem, demonstrates the validity of the obtained results using the mathematical theory of multi-criteria decision making and explains the decision making process. The approach is implemented in the form of the expert system. The case model, algorithms, and an illustrative example of application of the proposed approach are also presented.

scholarly journals A Multi-Criteria Decision-Making Approach for Ideal Business Location Identification

2021 ◽  
Vol 11 (11) ◽  
pp. 4983
Author(s):  
Salman Ahmed Shaikh ◽  
Mohsin Memon ◽  
Kyoung-Sook Kim
Keyword(s):  
Decision Making ◽  
New York ◽  
New York City ◽  
Site Selection ◽  
York City ◽  
Hybrid Approach ◽  
Primary Concern ◽  
Multi Criteria Decision Making ◽  
New Business ◽  
Business Site

Location has always been a primary concern for business startups to be successful. Therefore, much research has focused on the problem of identification of an ideal business site for a new business. The process of ideal business site selection is complex and depends on a number of criteria or factors. Since the ultimate goal of all businesses is to increase customer footprints and to thus increase sales, criteria including traffic accessibility, visibility, ease of access, vehicle parking, customers availability, etc. play important roles. In other words, we can say that optimal business site selection is a multi-criteria decision-making (MCDM) problem. MCDM is used to identify an optimal solution or decision out of many alternatives by utilizing a number of criteria. In mathematics, there exist a number of structured techniques for organizing and analyzing complex decisions, for instance, AHP, ANP, TOPSIS, etc. In this work, we present a hybrid of two such techniques to solve the MCDM problem for an optimal business site selection given a set of candidate sites. The proposed approach is based on the AHP (Analytic Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) approaches. The reason for using the proposed hybrid approach is multi-fold. The hybrid approach reduces the computational complexity and require less manual effort, thus improving the efficiency and accuracy of the proposed approach. Given a set of candidate locations for a new business, the proposed approach ranks the candidates. Thus, the candidate locations with higher ranks are identified as suitable or ideal. The approach comes up with the ranking of all of the candidate locations, thus giving business managers room to make calculated decisions. To show the effectiveness of the proposed approach, a detailed step-by-step case study is given to identify an ideal location in New York City for a new gas station. Furthermore, an experimental evaluation is also presented using a number of real New York City datasets.

scholarly journals Performance Measurement and Ranking Organization’s Suppliers Based on Risk Factors Using a Hybrid Approach of FMEA and Multi-Criteria Decision Making Techniques: A Case Study

2018 ◽  
Vol 12 (10) ◽  
pp. 149
Author(s):  
Davoud Jafari ◽  
Mehrzad Lohrasbi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Failure Modes ◽  
Assessment Tool ◽  
Hybrid Approach ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preventive Actions ◽  
Industrial Group ◽  
Supply Chain Risks

Risk occurance in the supply chain is unavoidable. Basically, a great portion of these risks comes from suppliers. Timely identification of the risks and using appropriate preventive actions to reduce the probability and impact of their occurrence play a significant role in increasing organizational efficiency, improving product quality and satisfying customers. Developing a systematic and efficient mechanism is a prerequisite for properly identifying and assessing the supply chain risks and making correct decision. Failure Modes and Effects Analysis (FMEA) is a known engineering technique and risk assessment tool to define, identify, and eliminate potential failures and errors in the products, processes, projects, and services. In this paper, FMEA approach is combined with multi-criteria decision-making techniques to make a systematic mechanism for assessing supply chain risks and prioritizing candidate flour suppliers in Sahar bread industrial group. In the proposed model, Analytic Hierarchy Process (AHP) is used to determine the risk’s weights and VIKOR method is applied for assessing and ranking the suppliers. Results shew that among the identified risks, “cost risk group” with the weight "0.43" is the most important. Therefor the company officials have to adopt appropriate policies, carefully, to deal with this risk. Moreover, final evaluation of flour suppliers in the company indicates that according to all criteria, the fourth supplier achieves the highest priority and it is selected as the most qualified flour supplier for the company.

scholarly journals Investigating and Prioritizing Factors Affecting Technology Selection Using Multi Criteria Decision Making Methods in the National Iranian Petrochemical Company

2021 ◽  
Vol 15 (4) ◽  
pp. 449-454
Author(s):  
Seyed Hossein Nouri ◽  
Tahmoures Sohrabi
Keyword(s):  
Decision Making ◽  
Delphi Method ◽  
Hybrid Approach ◽  
Research Literature ◽  
Appropriate Technology ◽  
Technology Selection ◽  
Multi Criteria Decision Making ◽  
Factors Affecting ◽  
Competitive Effects ◽  
Petrochemical Company

Technology can be considered as the most important factor in changing human experiences. Much of the success of most top companies in the field of competition rests on innovative activities that often rely on technology. On the other hand, defining valid and reliable as well as measurable indicators is necessary in order to make the most accurate decision. This refers to the famous saying that anything that can be measured can be managed. Therefore, using various scientific sources, the present study seeks to identify indicators of appropriate technology selection and then, prioritize them using multi-criteria decision making methods in the National Iranian Petrochemical Company. For this purpose, first important factors have been identified by studying the research literature and utilizing experts’ opinion gathered and aggregated by Delphi method. Then, by these factors have been ranked by screening and final identification through a hybrid approach of TOPSIS and Shannon entropy. According to the obtained results, technology efficiency has the highest priority among the factors which shows that in technology with the highest level of efficiency must be transferred and used in petrochemical industry. The competitive effects of technology have the lowest priority which shows that it is the least impact for technology transfer in this industry, and it need less attention from the industry practitioners

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