scholarly journals Evaluation of Ergonomics-Related Disorders in Online Education Using Fuzzy AHP

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Hemant Upadhyay ◽  
Sapna Juneja ◽  
Abhinav Juneja ◽  
Gaurav Dhiman ◽  
Sandeep Kautish
Keyword(s):  
Online Education ◽  
Fuzzy Numbers ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Computer Users ◽  
Education Students ◽  
Analytical Hierarchical Process ◽  
Psychosocial Disorders ◽  
Process Methodology ◽  
Specific Disorders

The aim of the presented work is to analyze the ergonomics-related disorders in online education using the fuzzy AHP approach. A group dialogue with online education academicians, online education students, biotechnologists, and sedentary computer users has been performed to spot ergonomics-related disorders in online education. Totally eight ergonomics-related disorders in online education have been identified, and the weight of each disorder has been computed with triangle-shaped fuzzy numbers in pairwise comparison. Furthermore, the ergonomics-related disorders in online education are kept in four major categories such as afflictive disorders, specific disorders, psychosocial disorders, and chronic disorders. These four categories of ergonomics-related disorders in online education are evaluated and compared using fuzzy analytical hierarchical process methodology to get ranked in terms of priorities. The results may be instrumental for taking appropriate corrective actions to prevent ergonomics-related disorders.

scholarly journals On Consistency in AHP and Fuzzy AHP

2017 ◽  
Vol 5 (2) ◽  
pp. 128-147 ◽  
Author(s):  
Fang Liu ◽  
Yanan Peng ◽  
Weiguo Zhang ◽  
Witold Pedrycz
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Fuzzy Interval

Abstract The analytic hierarchy process (AHP) is used widely for analyzing decisions made in various real-world applications. Its basic idea is to construct a hierarchy of concepts encountered in a given decision problem and to choose the best alternative according to pairwise comparison matrices given by the decision maker. Under the assumption of fully rational economics, a reasonable decision should be consistent. It becomes an important issue on how to analyze and ensure the consistency of comparison matrices together with the judgments of the decision maker. The main objectives of the present paper are threefold. First, we review the basic idea and methods used to define the consistency and the transitivity of multiplicative reciprocal matrices, additive reciprocal matrices and comparison matrices with fuzzy interval and triangular fuzzy numbers. The existing controversy behind the applications of fuzzy set theory to the AHP in the literature is presented. Second, the consistency of the collective comparison matrices in group decision making based on AHP and fuzzy AHP is further analyzed. We point out that the weak consistency of preference relations with fuzzy numbers in fuzzy AHP and group decision making should be investigated comprehensively. Third, under the consideration of the vagueness in the process of evaluating the judgements, a new concept of fuzzy consistency of comparison matrices in the AHP is given.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

scholarly journals PENERAPAN METODE FUZZY AHP DALAM PENENTUAN SEKTOR YANG BERPENGARUH TERHADAP PEREKONOMIAN PROVINSI BALI

2016 ◽  
Vol 5 (2) ◽  
pp. 59
Author(s):  
TJOKORDA GDE AGUNG FRISKA ADNYANA ◽  
G. K. GANDHIADI ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Manufacturing Industry ◽  
Fuzzy Ahp ◽  
Weighted Average ◽  
Pairwise Comparison ◽  
Primary Group ◽  
Tertiary Sector ◽  
Analytic Hierarchy ◽  
Consistency Ratio ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

The aim of this research is to apply Fuzzy Analytic Hierarchy Process method to determine the dominant sectors of economy Bali Province. This research used survey data from respondents who understand about economy of Bali Province and Gross Regional Domestic Product (GRDP). The research variables consist of criteria and sub-criteria. The criteria consist of primary sector, secondary, and tertiary, while the sub-criteria consist of 9 sectors of the GRDP. Data processing is done by calculating the weighted average and arrange them into pairwise comparison matrices. Furthermore, the consistency ratio is checked. If consistency ratio less than 0.100 (), the elements of matrices is changed into triangular fuzzy scale and processed with synthetic extent to get the priority. Based on the result of research, the economy of Bali are dominated by tertiary sector in sector group, agriculture and forestry in sub-primary group, manufacturing industry in sub-secondary group, and trade, hotel and restaurant in sub-tertiary group.

scholarly journals Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

2021 ◽  
Vol 13 (22) ◽  
pp. 12743
Author(s):  
Muhammad Hamza Naseem ◽  
Jiaqi Yang ◽  
Ziquan Xiang
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Reverse Logistics ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Fuzzy Topsis ◽  
Extensive Literature ◽  
Forward Logistics ◽  
Reverse Logistics Management ◽  
Topsis Approach

In the past few years, reverse logistics practices have successfully managed to gain more attention in various industries and among supply chain researchers and experts. This is due to globalization, environmental concerns, and customer requirements, which have asserted industries’ concerns for reverse logistics management. In E-commerce, the process of reverse logistics originates with parcel refusal, undelivered goods, and exchanges. In developing countries like Pakistan, the adoption and implications of reverse logistics are still at their early stages. E-commerce companies give more attention to forward logistics and ignore logistics’ upstream flow in the supply chain. This study aims to identify, as well as list, the barriers and obtain the solutions to those identified barriers, and rank the barriers and their solutions so that logisticians and experts can solve them as per their priority. From the extensive literature review and experts’ opinions, we have found 14 barriers in implementing effective reverse logistics. Eight solutions to those barriers were also found from the literature review. This paper proposed the methodology based on fuzzy analytical hierarchy process (fuzzy-AHP), which used to get the weights of each barrier by using pairwise comparison, and fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method, which was adopted for the final ranking of solutions to reverse logistics. The case of the Pakistan E-commerce industry is used in the proposed method.

scholarly journals Strategy Selection in the Universities via Fuzzy AHP Method: A Case Study

2020 ◽  
Vol 9 (2) ◽  
pp. 107 ◽  
Author(s):  
Ömür Hakan Kuzu
Keyword(s):  
Swot Analysis ◽  
Fuzzy Ahp ◽  
Academic Staff ◽  
Pairwise Comparison ◽  
Strategic Decision ◽  
Strategy Selection ◽  
State University ◽  
Senior Managers ◽  
Threat Analysis ◽  
The University

SWOT (Strength, Weakness, Opportunity and Threat) Analysis, even though it enables analyzing the internal and external environment that is effective in the process of organizations and institutions to make strategic decision, is a method that has some deficiencies in terms of measurement and assessment. In order to eliminate the deficiencies of interests and make assessment through more exact data in the process of decision making, in literature, various methods under the title of quantitative SWOT Analysis has been used. One of these methods is to integrate SWOT analysis with Fuzzy Analytical Hierarchy Process (FAHP) method. In this study, the data of SWOT analysis were turned into a hierarchical structure and the model formed was solved by means of method of FAHP. The application of method was performed on the problem of strategy selection of a state university in Turkey. Surveys conducted among 1292 academic staff in the university were evaluated by SWOT analysis. For the 6 main strategies and 13 sub-strategies obtained as a result of the analyses, pairwise comparison surveys were conducted with 37 senior managers of the university. Questionnaires were analyzed by FAHP method and it was concluded that the most important strategy for the university is “to be in the country’s top 5 universities and in the world’s top 500 universities”.

A Modified Balanced Scorecard Based Hybrid Pythagorean Fuzzy AHP-Topsis Methodology for ATM Site Selection Problem

2020 ◽  
Vol 19 (02) ◽  
pp. 365-384 ◽  
Author(s):  
Aslihan Yildiz ◽  
Ertugrul Ayyildiz ◽  
Alev Taskin Gumus ◽  
Coskun Ozkan
Keyword(s):  
Balanced Scorecard ◽  
Delphi Method ◽  
Site Selection ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Fuzzy Topsis ◽  
Selection Problem ◽  
Modified Delphi Method ◽  
Modified Delphi ◽  
Comparison Results

Researchers work on facility location problems in different structures and solve them by developing different models over the years. In this study, we focus on the automated teller machine (ATM) site selection problem for a public bank in İstanbul. Twenty-five districts, which are located at the European side of İstanbul, are designated as ATM candidate districts. The balanced scorecard (BSC) model is modified to determine the criteria according to the literature review and experts’ judgments for this problem. Internal, Customer, and Financial perspectives of the traditional BSC model are used as the main criteria and an external perspective is considered as the fourth criterion for modified balanced scorecard. The experts’ criteria evaluations are gained and consolidated by the Modified Delphi Method. The criteria weights are determined by the Pythagorean Fuzzy-AHP method using the final pairwise comparison results obtained from the Modified Delphi Method. Subsequently, the Pythagorean Fuzzy TOPSIS method is applied to determine the best alternative site among alternatives to locate the ATM according to these criteria. Finally, the results are presented and discussed by sensitivity analysis.

scholarly journals An intelligent order allocation system for effective order fulfilment under changing customer demand

2019 ◽  
Vol 255 ◽  
pp. 02002
Author(s):  
K.H. Leung ◽  
K.L. Choy ◽  
H.Y. Lam
Keyword(s):  
Decision Making ◽  
Intelligent System ◽  
Fuzzy Ahp ◽  
Sudden Change ◽  
Pairwise Comparison ◽  
Decision Making Process ◽  
Order Allocation ◽  
Domain Experts ◽  
Customer Order ◽  
Study Results

In today's intense global competition, problems still exist under the umbrella of Just-in-Time application in the field of order management. The management of a firm usually faces difficulty in allocating stock to fulfil customer order, especially in the case of receiving a sudden change request from customers. In order to ease order allocation issues aroused by JIT, an intelligent system, namely, Intelligent Sales Order Handling System (ISOAS), is developed through the integration of fuzzy-AHP approach for decision making process in order allocation. This approach enables the selection of desired sales orders based on multiple criteria which may be quantitative or qualitative in nature, according to the judgment of scholars and domain experts. With ISOAS, customer orders are prioritized with respect to the values according to their performance under each decision making attributes. The degree of confidence of the decision judgements are quantified through the spread of fuzzy numbers with fuzzy pairwise comparison calculations. The approach can transform the fuzziness of human preference into the measurable number, enabling the operation of the AI-based system to assist humans in decision-making. An order allocation case study in a logistics department is demonstrated in this study. Results indicate an improved efficiency during the decision making process.

Evaluating Supplier Involvement Using DEA and Piecewise Triangular Fuzzy AHP

2007 ◽  
Author(s):  
Shouhua Yuan ◽  
Yiliu Tu ◽  
Deyi Xue
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Data Envelopment ◽  
Novel Method ◽  
Overall Performance ◽  
Dea Method ◽  
The Individual ◽  
Hierarchy Process

Data Envelopment Analysis (DEA) has been widely applied in evaluating multi-criteria decision making problems which have multi-inputs and multi-outputs. However, the traditional DEA method does neither take the decision maker’s subjective preferences to the individual criteria into consideration, nor rank the selected options or decision making units (DMUs). On the other hand, Satty’s Analytical Hierarchy Process (AHP) was established to rank options or DMUs under multi-inputs and multi-outputs through pairwise comparisons. But in most cases, the AHP pairwise comparison method is not perfectly consistent, which may give rise to confusions in determining the appropriate priorities of each criterion to be considered. The inconsistency implicates the fuzziness in generating the relative important weight for each criterion. In this paper, a novel method which employs both DEA and AHP methods is proposed to evaluate the overall performance of suppliers’ involvement in the production of a manufacturing company. This method has been developed through modifying the DEA method into a weighting constrained DEA method by using a piecewise triangular weighting fuzzy set which is generated from the inconsistent AHP comparisons. A bias tolerance ratio (BTR) is introduced to represent the varying but restrained weighting values of each criterion. Accordingly, the BTR provides the decision maker a controllable parameter by tightening or loosening the range of the weighting values in evaluating the overall performance of available suppliers, which in hence, overcomes the two weaknesses of the traditional DEA method.

scholarly journals Refractured Well Selection for Multicriteria Group Decision Making by Integrating Fuzzy AHP with Fuzzy TOPSIS Based on Interval-Typed Fuzzy Numbers

2012 ◽  
Vol 2012 ◽  
pp. 1-21 ◽  
Author(s):  
Tiejun Li ◽  
Jianhua Jin ◽  
Chunquan Li
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Selection Problem ◽  
Triangular Fuzzy Numbers ◽  
Analytic Hierarchy ◽  
Multicriteria Group Decision Making

Multicriteria group decision making (MCGDM) research has rapidly been developed and become a hot topic for solving complex decision problems. Because of incomplete or non-obtainable information, the refractured well-selection problem often exists in complex and vague conditions that the relative importance of the criteria and the impacts of the alternatives on these criteria are difficult to determine precisely. This paper presents a new model for MCGDM by integrating fuzzy analytic hierarchy process (AHP) with fuzzy TOPSIS based on interval-typed fuzzy numbers, to help group decision makers for well-selection during refracturing treatment. The fuzzy AHP is used to analyze the structure of the selection problem and to determine weights of the criteria with triangular fuzzy numbers, and fuzzy TOPSIS with interval-typed triangular fuzzy numbers is proposed to determine final ranking for all the alternatives. Furthermore, the algorithm allows finding the best alternatives. The feasibility of the proposed methodology is also demonstrated by the application of refractured well-selection problem and the method will provide a more effective decision-making tool for MCGDM problems.

scholarly journals A Study of Written English in Nepal

2020 ◽  
Vol 35 (2) ◽  
pp. 135-150
Author(s):  
Ram Ekwal Singh
Keyword(s):  
Teaching Writing ◽  
Science Students ◽  
Education Students ◽  
The Social ◽  
Process Methodology ◽  
English Textbooks ◽  
Teaching Learning ◽  
Almost All ◽  
Compulsory Subject ◽  
Gathering Data

People in Nepal speak different languages. English is taught as a compulsory subject up to bachelor level. Writing skill in compulsory English occupies 40% weight age in class XI syllabus. This research was conducted with the main purposes of analysing the writing tasks and writing serves various purposes in a person’s everyday life. Its role is vital for upgrading students and job placement. It has been prescribed in English textbooks for higher secondary level across four subject streams and finding out the English teaching learning processes in the development of writing skills. The study had been delimited to the Kathmandu Valley. The sample comprised Class XI students. Mixed methods were utilized for gathering data such as questionnaire for students, test, students’ interview, teachers’ opinionnaire, teachers’ interview and class observation. All the higher secondary schoolteachers of English of the sample schools and 25 students of four streams were the respondents. The data was analysed using the Statistical Package for the Social Sciences (SPSS) version 16 and the t-test. The nature of exercises related to writing in textbooks of Class XI is almost similar, sequential and aims at developing creative writing. Science students performed the best of all on the test followed by Management, Arts and Education students. Almost all the informants expressed that writing grammatically correct sentences is of top most importance. Most of the teachers used process methodology in teaching writing. All informants interviewed expressed writing as a vital skill but it lacks separate classes.

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