Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method

2021 ◽  
pp. 1-47
Author(s):  
R. T. Mohammed ◽  
A. A. Zaidan ◽  
R. Yaakob ◽  
N. M. Sharef ◽  
R. H. Abdullah ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Studies ◽  
Evaluation Criteria ◽  
Evaluation Process ◽  
Primary Objective ◽  
Fuzzy Membership Function ◽  
Final Decision ◽  
Decision Matrix ◽  
Competitive Algorithms ◽  
Weight Coefficients

Along with the developments of numerous MaOO algorithms in the last decades, comparing the performance of MaOO algorithms with one another is also highly needed. Many studies have attempted to manipulate such comparison to analyze the performance quality of MaOO. In such cases, the weight of importance is critical for evaluating the performance of MaOO algorithms. All evaluation studies for MaOO algorithms have ignored to assign such weight for the target criteria during evaluation process, which plays a key role in the final decision results. Therefore, the weight value of each criterion must be determined to guarantee the accuracy of results in the evaluation process. Multicriteria decision-making (MCDM) methods are extremely preferred in solving weighting issues in the evaluation process of MaOO algorithms. Several studies in MCDM have proposed competitive weighting methods. However, these methods suffer from inconsistency issues arising from the high subjectivity of pairwise comparison. The inconsistency rate increases in an exorbitant manner when the number of criteria increases, and the final results are affected. The primary objective of this study is to propose a new method, called a Novel Fuzzy-Weighted Zero-Inconsistency (FWZIC) Method which can determine the weight coefficients of criteria with zero consistency. This method depends on differences in the preference of experts per criterion to compute its significance level in the decision-making process. The proposed FWZIC method comprises five phases for determining the weights of the evaluation criteria: (1) the set of evaluation criteria is explored and defined, (2) the structured expert judgement (SEJ) is used, (3) the expert decision matrix (EDM) is built on the basis of the crossover of criteria and SEJ, (4) a fuzzy membership function is applied to the result of the EDM and (5) the final values of the weight coefficients of the evaluation criteria are computed. The proposed method is applied to the evaluation criteria of MaOO competitive algorithms. The case study consists of more than 50 items distributed amongst the major criteria, subcriteria and indicators. The significant contribution of each item to the algorithm evaluation is determined. Results show that the criteria, subcriteria and their related indicators are weighted without inconsistency. The findings clearly show that the FWZIC method can deal with the inconsistency issue and provide accurate weight values to each criterion.

Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method

2017 ◽  
Vol 30 (8) ◽  
pp. 668-679 ◽  
Author(s):  
Puneeta Ajmera
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Medical Tourism ◽  
Developed Countries ◽  
Individual Factors ◽  
Final Decision ◽  
Decision Matrix ◽  
Content Type ◽  
Indian Medical ◽  
Multiple Attribute

Purpose Organizations have to evaluate their internal and external environments in this highly competitive world. Strengths, weaknesses, opportunities and threats (SWOT) analysis is a very useful technique which analyzes the strengths, weaknesses, opportunities and threats of an organization for taking strategic decisions and it also provides a foundation for the formulation of strategies. But the drawback of SWOT analysis is that it does not quantify the importance of individual factors affecting the organization and the individual factors are described in brief without weighing them. Because of this reason, SWOT analysis can be integrated with any multiple attribute decision-making (MADM) technique like the technique for order preference by similarity to ideal solution (TOPSIS), analytical hierarchy process, etc., to evaluate the best alternative among the available strategic alternatives. The paper aims to discuss these issues. Design/methodology/approach In this study, SWOT analysis is integrated with a multicriteria decision-making technique called TOPSIS to rank different strategies for Indian medical tourism in order of priority. Findings SO strategy (providing best facilitation and care to the medical tourists at par to developed countries) is the best strategy which matches with the four elements of S, W, O and T of SWOT matrix and 35 strategic indicators. Practical implications This paper proposes a solution based on a combined SWOT analysis and TOPSIS approach to help the organizations to evaluate and select strategies. Originality/value Creating a new technology or administering a new strategy always has some degree of resistance by employees. To minimize resistance, the author has used TOPSIS as it involves group thinking, requiring every manager of the organization to analyze and evaluate different alternatives and average measure of each parameter in final decision matrix.

Experiences of the First 16 Hospitals Using Copper-Silver Ionization forLegionellaControl: Implications for the Evaluation of Other Disinfection Modalities

2003 ◽  
Vol 24 (8) ◽  
pp. 563-568 ◽  
Author(s):  
Janet E. Stout ◽  
Victor L. Yu
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Evaluation Process ◽  
Water Systems ◽  
Evidence Based ◽  
Disinfection Methods ◽  
Legionnaires Disease ◽  
Hospital Acquired

AbstractBackground and Objectives:Hospital-acquired legionnaires' disease can be prevented by disinfection of hospital water systems. This study assessed the long-term efficacy of copper-silver ionization as a disinfection method in controllingLegionellain hospital water systems and reducing the incidence of hospital-acquired legionnaires' disease. A standardized, evidence-based approach to assist hospitals with decision making concerning the possible purchase of a disinfection system is presented.Design:The first 16 hospitals to install copper-silver ionization systems forLegionelladisinfection were surveyed. Surveys conducted in 1995 and 2000 documented the experiences of the hospitals with maintenance of the system, contamination of water withLegionella, and occurrence of hospital-acquired legionnaires' disease. All were acute care hospitals with a mean of 435 beds.Results:All 16 hospitals reported cases of hospital-acquired legionnaires' disease prior to installing the copper-silver ionization system. Seventy-five percent had previously attempted other disinfection methods including superheat and flush, ultraviolet light, and hyperchlorination. By 2000, the ionization systems had been operational from 5 to 11 years. Prior to installation, 47% of the hospitals reported that more than 30% of distal water sites yieldedLegionella. In 1995, after installation, 50% of the hospitals reported 0% positivity, and 43% still reported 0% in 2000. Moreover, no cases of hospital-acquired legionnaires' disease have occurred in any hospital since 1995.Conclusions:This study represents the final step in a proposed 4-step evaluation process of disinfection systems that includes (1) demonstrated efficacy ofLegionellaeradication in vitro using laboratory assays, (2) anecdotal experiences in preventing legionnaires' disease in individual hospitals, (3) controlled studies in individual hospitals, and (4) validation in confirmatory reports from multiple hospitals during a prolonged time (5 to 11 years in this study). Copper-silver ionization is now the only disinfection modality to have fulfilled all four evaluation criteria.

scholarly journals Evaluation of precautionary measures for COVID-19 in a work environment with multi-criteria decision analysis

2021 ◽  
Vol 31 (Supplement_2) ◽  
Author(s):  
Douglas Martins ◽  
Lucas Rangel ◽  
Marcilene Vianna ◽  
Dalessandro Vianna
Keyword(s):  
Decision Making ◽  
Work Environment ◽  
Social Distance ◽  
Evaluation Criteria ◽  
Work Capacity ◽  
Prevention Measures ◽  
Decision Matrix ◽  
Administrative Services ◽  
Promethee Ii ◽  
Precautionary Measures

Abstract Background In December 2019 in China, the COVID-19 pandemic process began. From this milestone, it is clear the relevance of the analysis of control and prevention measures used to combat this disease in a work environment. The objective of this study is to evaluate the main precautionary measures in COVID-19 administrative services, using three techniques of multi-criteria decision making. Methods This study was conducted in four stages. In the first stage, there was the characterization of an administrative services company as an analytical model. In the second stage, some prevention measures were defined as choices and their evaluation criteria. The alternatives were: use of masks; use of gel alcohol; handwashing; hygiene of workstations and bathrooms; use of individual utensils; physical-social distance; and education (training on prevention). The criteria were: reduction of the probability of transmission by contact; practicality of behavioral adaptation; and monthly cost. In the third stage, a decision matrix was constructed relating the selected choices and criteria. In the fourth stage there was the application of the techniques PROMETHEE I, PROMETHEE II and ELECTRE III to prioritize the selected prevention measures. Results After the comparative analysis of the results of the applied techniques, it was possible to strongly advise four of the seven measures chosen: use of masks; use of gel alcohol; physical-social distance and education. Conclusions The methodology used in this study can support decision-making with the selection of more efficient actions in the preservation of the health and work capacity of workers, and in the optimization of corporate financial resources.

scholarly journals EVALUATING THE PERFORMANCE OF COLOMBIAN BANKS BY HYBRID MULTICRITERIA DECISION MAKING METHODS

2020 ◽  
Vol 21 (6) ◽  
pp. 1707-1730
Author(s):  
Amir Karbassi Yazdi ◽  
Thomas Hanne ◽  
Juan Carlos Osorio Gómez
Keyword(s):  
Decision Making ◽  
Balanced Scorecard ◽  
Service Sector ◽  
Banking Sector ◽  
Multicriteria Decision Making ◽  
Evaluation Process ◽  
Decision Matrix ◽  
Multicriteria Decision ◽  
Strategic Issues ◽  
Matrix Weights

The aim of the study in this paper is to show how the performance of banks can be evaluated by ranking them based on Balanced Scorecard (BSC) and Multicriteria Decision Making (MCDM) methods. Nowadays, assessing the performance of companies is a vital work for finding their weaknesses and strengths. The banking sector is an important area in the service sector. Many people want to know which bank performs best when entrusting their money to them. For assessing the performance of banks, BSC can be used. This method helps to translate strategic issues to meaningful insights for the respective financial institutions. After that, the banks will be ranked based on performance indicators by the Weighted Aggregated Sum Product Assessment (WASPAS) method. Because this method is based on a decision matrix, weights are required. To find such weights, the Step-wise Weight Assessment Ratio Analysis (SWARA) method is applied. The results show that the International Bank of Colombia has a much better performance than other Colombian banks. Besides, further insights regarding the evaluation process based on BSC, SWARA, and WASPAS are obtained.

scholarly journals A GREY COMBINED COMPROMISE SOLUTION (COCOSO-G) METHOD FOR SUPPLIER SELECTION IN CONSTRUCTION MANAGEMENT

2019 ◽  
Vol 25 (8) ◽  
pp. 858-874 ◽  
Author(s):  
Morteza Yazdani ◽  
Zhi Wen ◽  
Huchang Liao ◽  
Audrius Banaitis ◽  
Zenonas Turskis
Keyword(s):  
Decision Making ◽  
Solution Method ◽  
Qualitative Evaluation ◽  
Evaluation Process ◽  
Assessment Method ◽  
Compromise Solution ◽  
Decision Matrix ◽  
Construction Company ◽  
Linear Programming Formulation ◽  
Weighting Methods

This study investigates an extended version of the combined compromise solution method with grey numbers, named CoCoSo-G for short, to measure the performance of suppliers in a construction company in Madrid. Seven criteria from a relevant previous study are the basis for assessing the performance of suppliers, while ten suppliers are composing our decision matrix. To initiate the decision-making process, we invite experts to aid us in the qualitative evaluation of the suppliers using grey interval values. Two weighting methods, including the DEMATEL (Decision Making Trial and Evaluation Laboratory) and BWM (best worst method) are used to achieve the importance of supplier criteria in a combined manner. The DEMATEL method is used to realise the best and worst criteria, and the BWM is used to sort the criteria according to a linear programming formulation. The CoCoSo-G method used to release the score of each supplier and rank them. We compare the results obtained by the CoCoSo-G with those obtained by the Complex Proportional Assessment method. It is evident that offering grey values for supplier qualification, using the combined weighting tool and proposing the new CoCoSo-G approach facilitate the evaluation process while indicating trustable outcomes.

Multi-Objective Heuristic Decision Making and Benchmarking for Mobile Applications in English Language Learning

2021 ◽  
Vol 20 (5) ◽  
pp. 1-16
Author(s):  
Chunhe Zhao ◽  
Balaanand Muthu ◽  
P. Mohamed Shakeel
Keyword(s):  
Decision Making ◽  
Language Learning ◽  
Mobile Applications ◽  
English Language ◽  
Evaluation Criteria ◽  
Preference Order ◽  
Decision Matrix ◽  
Reading And Writing ◽  
Multi Objective ◽  
Best Worst Method

This research proposes to evaluate and analyze the decision matrix for learner's English mobile applications (EMAs) based on multi-objective heuristic decision making with a view to listening, speaking, reading, and writing. Because of the number of criteria, the significance of parameters, and variance in results, EMAs are difficult. Decision making has built on the combination of listening, speaking, reading, and writing and EMA evaluation criteria for students. The requirements are adapted from a framework of pre-school education. Six alternatives and 17 skills as a requirement are included in decision-making results. The six EMA are then assessed, with six English learning experts distributing a review form. The application subsequently is evaluated using the best-worst method and preference-order technique (TOPSIS) using multi-objective heuristic decision making methods. The best-worst method is used to measure requirements, whereas TOPSIS is used to test and assess the applications. In two cases, namely person and group, TOPSIS is used. Internal and external aggregations are used throughout the group context. In effect, the aim of evaluating the proposed study and comparing it to six relative studies with scenarios and benchmarking checklists is to develop an objectives validation framework for e-apps.

scholarly journals A Multiple Attribute Group Decision Making Approach for Solving Problems with the Assessment of Preference Relations

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Taho Yang ◽  
Yiyo Kuo ◽  
David Parker ◽  
Kuan Hung Chen
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Final Decision ◽  
Decision Matrix ◽  
Preference Relations ◽  
Theoretical Approaches ◽  
Multiple Attribute ◽  
Fuzzy Preference Relations ◽  
Fuzzy Preference

A number of theoretical approaches to preference relations are used for multiple attribute decision making (MADM) problems, and fuzzy preference relations is one of them. When more than one person is interested in the same MADM problem, it then becomes a multiple attribute group decision making (MAGDM) problem. For both MADM and MAGDM problems, consistency among the preference relations is very important to the result of the final decision. The research reported in this paper is based on a procedure that uses a fuzzy preference relations matrix which satisfies additive consistency. This matrix is used to solve multiple attribute group decision making problems. In group decision problems, the assessment provided by different experts may diverge considerably. Therefore, the proposed procedure also takes a heterogeneous group of experts into consideration. Moreover, the methods used to construct the decision matrix and determine the attribution of weight are both introduced. Finally a numerical example is used to test the proposed approach; and the results illustrate that the method is simple, effective, and practical.

Doubly Extended Fuzzy TOPSIS Method for Group Decision Making

2019 ◽  
Vol 66 (1) ◽  
pp. 27-50
Author(s):  
Dariusz Kacprzak
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Group Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Final Decision ◽  
Topsis Method ◽  
Decision Matrix

Multiple Criteria Decision Making methods, such as TOPSIS, have become very popular in recent years and are frequently applied to solve many real-life situations. However, the increasing complexity of the decision problems analysed makes it less feasible to consider all the relevant aspects of the problems by a single decision maker. As a result, many real-life problems are discussed by a group of decision makers. In such a group each decision maker can specialize in a different field and has his/her own unique characteristics, such as knowledge, skills, experience, personality, etc. This implies that each decision maker should have a different degree of influence on the final decision, i.e., the weights of decision makers should be different. The aim of this paper is to extend the fuzzy TOPSIS method to group decision making. The proposed approach uses TOPSIS twice. The first time it is used to determine the weights of decision makers which are then used to calculate the aggregated decision matrix for all the group decision matrices provided by the decision makers. Based on this aggregated matrix, the extended TOPSIS is used again, to rank the alternatives and to select the best one. A numerical example illustrates the proposed approach.

Towards on Develop a Framework for the Evaluation and Benchmarking of Skin Detectors Based on Artificial Intelligent Models Using Multi-Criteria Decision-Making Techniques

2017 ◽  
Vol 31 (03) ◽  
pp. 1759002 ◽  
Author(s):  
Qahtan M. Yas ◽  
A. A. Zadain ◽  
B. B. Zaidan ◽  
M. B. Lakulu ◽  
Bahbibi Rahmatullah
Keyword(s):  
Decision Making ◽  
Color Space ◽  
Evaluation Criteria ◽  
Skin Detection ◽  
Decision Matrix ◽  
Artificial Intelligent ◽  
Different Color ◽  
Intelligent Models ◽  
Two Stages ◽  
Skin Detector

Evaluation and benchmarking of skin detectors are challenging tasks because of multiple evaluation attributes and conflicting criteria. Although several evaluating and benchmarking techniques have been proposed, these approaches have many limitations. Fixing several attributes based on multi-attribute benchmarking approaches is particularly limited to reliable skin detection. Thus, this study aims to develop a new framework for evaluating and benchmarking skin detection on the basis of artificial intelligent models using multi-criteria analysis. For this purpose, two experiments are conducted. The first experiment consists of two stages: (1) discussing the development of a skin detector using multi-agent learning based on different color spaces to create a dataset of various color space samples for benchmarking and (2) discussing the evaluation and testing the developed skin detector according to multi-evaluation criteria (i.e. reliability, time complexity, and error rate within dataset) to create a decision matrix. The second experiment applies different decision-making techniques (AHP/SAW, AHP/MEW, AHP/HAW, AHP/TOPSIS, AHP/WSM, and AHP/WPM) to benchmark the results of the first experiment (i.e. the developed skin detector). Then, we discuss the use of the mean, standard deviation, and paired sample [Formula: see text]-test to measure the correlations among the different techniques based on ranking results.

Software and Hardware FPGA-Based Digital Watermarking and Steganography Approaches: Toward New Methodology for Evaluation and Benchmarking Using Multi-Criteria Decision-Making Techniques

2017 ◽  
Vol 26 (07) ◽  
pp. 1750116 ◽  
Author(s):  
B. B. Zaidan ◽  
A. A. Zaidan
Keyword(s):  
Decision Making ◽  
Digital Watermarking ◽  
Large Scale ◽  
Evaluation Method ◽  
Evaluation Criteria ◽  
Decision Matrix ◽  
Multi Criteria Evaluation ◽  
Field Programmable ◽  
Software And Hardware ◽  
Two Stages

Evaluating and benchmarking software and hardware field programmable gate array (FPGA)-based digital watermarking are considered challenging tasks because of multiple and conflicting evaluation criteria. A few evaluation and benchmarking techniques/frameworks have been implemented to digital watermarking or steganography; however, these approaches still present certain limitations. In particular, fixing some attributes on account of other attributes and well-known benchmarking approaches are limited to robust watermarking techniques. Thus, this study aims toward a new methodology for evaluation and benchmarking using multi-criteria analysis for software and hardware “FPGA”-based digital watermarking or steganography. To achieve this objective, two iterations are conducted. The first iteration consists of two stages: discussing software and hardware “FPGA”-based digital watermarking or steganography to create a dataset with various samples for benchmarking and discussing the evaluation method and then discussing the test for software and hardware “FPGA”-based digital watermarking or steganography according to multi-criteria evaluation (i.e., complexity, payload and quality) to create a decision matrix. The second iteration applies different decision-making techniques (i.e., SAW, MEW, HAW, TOPSIS, WSM and WPM)) to benchmark the results of the first iteration (i.e., software or hardware FPGA-based digital watermarking or steganography approaches). Then, the discussed mean, standard deviation and paired sample [Formula: see text]-test results are used to measure the correlations among different techniques based on the ranking results. The discussion findings are described as follows: (1) the integration of developer and evaluator preferences into the evaluation and benchmarking for software and hardware FPGA-based digital watermarking or steganography, (2) the process of assigning weights and (3) visualizing large-scale data sample in either software or hardware FPGA-based digital watermarking or steganography algorithms.

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