Simple Additive Weighting Technique Research Articles

Decision Support Systems in Education: A Revolutionary Approach to Teaching and Learning

This research investigates how a method known as Simple Additive Weighting (SAW), which is a tool for making decisions based on multiple criteria, might be utilized in the field of education. The goal is to determine the most effective techniques for enhancing the educational process based on a variety of variables, such as student performance, the efficacy of teachers, the relevance of the curriculum, the allocation of resources, and student participation. According to the findings, the solutions that are most likely to be chosen include introducing more interactive teaching methods as well as instituting a school-wide gamification system. However, some limitations of the SAW technique have been recognized. These shortcomings include the method's assumption of the independence of criteria and its sensitivity to weight assignments. The paper's authors concluded by giving suggestions for future research topics. These include the investigation of the impact different weight assignments have on the findings obtained by using the SAW approach, as well as the exploration of other decision-making systems. This research is an important contribution to the expanding body of knowledge on the application of decision-support systems in education and offers insightful information that can be helpful to teachers, school administrators, and policymakers.

Supplier Evaluation at Small-Medium Enterprise Using Simple Additive Weighting

This study focuses on the importance of information systems in today's intensely competitive business landscape. Companies of all sizes rely on information systems to stay afloat, streamline operations, and make informed decisions based on accurate data. To remain competitive, a medium-sized company specializing in vending motorcycle accessories and spare parts faced various challenges, including determining the best supplier for each item. To address this issue, a decision support system was developed using the Simple Additive Weighting technique. This method calculates the weighted sum of performance evaluations for each option based on all qualities. The system underwent user acceptance testing and achieved a flawless success rate of 100%. Overall, this study highlights the crucial role of decision support systems in enabling businesses to make strategic decisions based on accurate and reliable data.

Analysis of Simple Additive Weighting Method (SAW) as a MultiAttribute Decision-Making Technique: A Step-by-Step Guide

The simple additive weighting (SAW) method is one of the oldest and most widely used decision-making methods. It has a simple process that can be utilized in different subject areas such as engineering, environmental sciences, and energy. The main concepts of the SAW method are introduced in this paper and then a step-by-step guide to using SAW technique for decision-making and ranking purposes in multi-attribute cases is presented.

Evaluate Database Management System Quality By Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methodolog

Any organization that intends to use component-based software development, like outsourcing software, must first evaluate existing components against system requirements to find the best fit among many alternatives. As a result, there should be a mechanism to help with decision-making. Our proposed methodology tries to select the best alternative among available components, using the best decision-making approach. As an integrated method for order preference, the methodology in this paper uses two well-known criterion decision-making procedures, namely Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). By analyzing and selecting the optimal solution among a variety of Out Sourcing (OS) modules, the new model design makes the decision-making process easier. We evaluated two software attributes and predicted which was more effective. In this case, the advantage of utilizing AHP is that it allows the developer to evaluate the structure of the OS selection problem and calculate weights for the chosen criteria. After that, the SAW technique is used to calculate the alternatives ratings for OS components. The integration strategy used in our model and the resulting preference indication, which is produced as an explicit numeric value.

The meta-analysis of organisational deviant behaviours research: past, present, and future

PurposeThis study aims to reach a perception of the advance of research on deviant organisational behaviours.Design/methodology/approachThis research has been done through the text mining method. By reviewing, the papers were selected 360 papers between 1984 and 2020. Based on the Davis–Boldin index, 11 optimal clusters were gained. Then the roots were ranked in any group, using the Simple Additive Weighting technique. Data were analysed by RapidMiner and MATLAB software.FindingsAccording to the results obtained, clusters are included leadership styles, job attitudes, spirituality in the workplace, work psychology, personality characteristics, classification and management of deviant workplace behaviours, service and customer orientation, deviation in sales, psychological contracts, group dynamics and inappropriate supervision.Originality/valueThis study provides a landscape and roadmap for future investigation on deviant organisational behaviours.

Implementasi Algoritma C4.5 dan Simple Additive Weight Untuk Menentukan KPI Karyawan

PT Kreatif Dinamika is the one of Microsoft's partner company that provides industrial solutions that consist of ERP and CRM, Power BI, Office 365 mobile applications and custom solutions. Every year conducts employee performance evaluation for employee who have worked at least one year to get an increase sallary. The primary idea of the Simple Additive Weighting technique is to get the full weighted value of every worker's overall performance on all of the attributes of the evaluation component. The C4.5 is an algorithm that used to create a decision tree. Decision tree is the structure division method and a famous predictions. In addition, after deretmine of weighted value of every attribute, SAW can select the good opportunity for classifications process from many alternatives. There are five standards that used for evaluation, there are Delivery On Time, Delivery on budget, Team Satisfaction, Soft Skill and Project Handled. The application of C4.5 algorithm on information explore in large amount include changed it into decision tree which could represent terms well. In the C4.5 algorithm, the choice of attributes as an evaluation could be very influential in acquiring an accuracy value cost primarily based totally at the outcomes of the ranking

Optimum DNA Extraction Methods for Edible Bird's Nest Identification Using Simple Additive Weighting Technique.

A simple additive weighting (SAW) technique was used to determine and compare the overall performance of five DNA extraction methods from conventional (SDS method) to commercial kits (Qiagen, Wizard, and NucleoSpin) for identifying origins of edible bird’s nest (EBN) using end-point polymerase chain reaction (PCR). A hybrid method (SDS/Qiagen) which has been developed by combining the conventional SDS method with commercialised Qiagen was determined as the most suitable in terms of speed and cost-effectiveness. The determination of optimum extraction method was by the performances on efficiency and feasibility, extracted DNA concentration, purity, PCR amplifiability, handling time and safety of reagents used. The hybrid SDS/Qiagen method is less costly compared to the commercial kits and offered a more rapid alternative to the conventional SDS method with significant improvement in the yield, purity and PCR amplifiability. The developed hybrid SDS/Qiagen method provides a more practical alternative over the lengthy process using conventional method and expensive process using commercial kits. Using the simple additive weighting (SAW) technique and analysis, the Qiagen method is considered the most efficient and feasible method without consideration of cost as it yielded the purest extracted DNA and achieved the highest PCR amplifiability with the shortest turnaround time.

INVESTIGATION OF THE EFFECT OF DIFFERENT MARINADES ON THE SENSORY PROPERTIES OF GRILLED MEAT WITH MULTI-CRITERIA DECISION MAKING TECHNIQUES

Marinating is the technique of treating meats with various techniques and materials for various periods of time, especially in order to improve their sensory and physical qualities and to extend their shelf life. By this technique, different flavors and textures can be prepared in restaurants and food and beverage businesses, and these meats can be made more valuable and more acceptable. In this study, sensory analyzes of the samples that were marinated with different marination solutions by immersion method and these samples cooked with charcoal fire and non-oil grilled technique were carried out. The findings obtained from the samples whose sensory analyzes were made were ranked by Simple Additive Weighting (SAW). In this study, in which important sensory parameters such as flavor, appearance, smell and juiciness were compared, 4 different sensory parameters of 9 samples at 7 different levels were compared with the SAW technique. When the findings were examined, the sensory parameters of the marinated meat samples were found to be higher than the nonmarinated control sample, and it was observed that the sensory properties of the meat samples improved and their general acceptability increased when the meat samples were marinated. According to the simple additive weighting scores, the T4 sample, cooked in a pan with a score of 0.1273 and containing balsamic vinegar, onion juice, lemon juice, thyme, red pepper powder and bay leaf, was the most popular sample. The least liked sample was the control sample cooked without marinating with a score of 0.0877.

GIS based modeling of GWQ assessment at Al-Shekhan area using AHP and SAW techniques

There is a continuous need to assess Groundwater Quality (GWQ) for human beneficial uses especially in areas suffering a shortage of nearby surface water. This study aims to assess GWQ of 56 wells located at Al-Shekhan area for drinking, irrigation, and livestock purposes. Analytical Hierarchical Process (AHP) technique is used to extract weights of parameters that are needed in the calculation of Simple Additive Weighting (SAW) technique. Maps are created using Geographical Information Systems (GIS), and these maps shows the classes of suitable areas for each purpose depending upon the calculated indices which are extracted from SAW technique. The results show that the final map classifies the suitable parts according to the drinking, irrigation and livestock purposes, and it shows that the north eastern part of the studied area is suitable for irrigation and livestock only. A model of GIS and AHP is built to assess the suitability of GWQ in Al-Shekhan area, and can be a raw model to be applied to assess GWQ in any other area after inserting the values of their parameters.

EVALUATION OF SUPPLY CHAIN ANALYTICS WITH AN INTEGRATED FUZZY MCDM APPROACH

Recently, the popularity of big data and business analytics has increased with advanced technological developments. Supply chain analytics (SCA) notion was born with the implementation of these technologies in supply chains that become more global, more complex, more extended, and more connected each day. SCA aims to find meaningful patterns in supply chain processes with the application of statistics, mathematics, machine-learning techniques, and predictive modeling. In this context, companies try to find ways to create business value for their supply chains by leveraging SCA. However, the selection of the most appropriate SCA tool is a complicated process that contains many influencing factors. For instance, the graphical and intuitive features, the data extraction method and real-time operability can be the influencing factors for such a selection. Therefore, in this study, it is aimed to provide an integrated technique for prioritizing SCA success factors and for evaluating SCA tools. For addressing these problems, fuzzy logic and multi-criteria decision making (MCDM) techniques are used. An integrated fuzzy simple additive weighting (SAW) - a technique for order preference by similarity to ideal solution (TOPSIS) approach is applied. The weights of the success factors are calculated by using fuzzy SAW technique, and the SCA tools are evaluated by using fuzzy TOPSIS technique. The success factors and the SCA tool alternatives are determined by reviewing the literature and industry reports, and by collecting experts' opinions. An application is given to illustrate the potential of the proposed approach. At the end of the study, the suggestions for future studies are presented.

A SAW Mechanism for Investigating the Status of Industrial Robots Under Comprehensive Sustainable Aspects

The authors attempt to model a decision-making mechanism; which can fix multiple robot characteristics and can aid in investigating robots status for a particular manufacturing arena. The work exposed a series of applicable robot characteristics; which differentiated their working capacity and defines their value. A simple additive weighting (SAW) mechanism under a fuzzy concept is presented for investigating the status of industrial robots; which incorporates comprehensive aspects for sustainable robot selection. The authors have extended the application field of fuzzy sets theory and illustrated the significant application of linguistic terms in the robot decision-making problem. The work compounds fuzzy sets theory with SAW techniques and thus serves a flavor of fuzzy concept and a SAW technique under single platform. The study reveals the course of action for executing the proposed work by the managers. The work has applied fuzzy linguistic terms for griping the appropriate perceptions of the decision makers and applied the conception of SAW methodology to yield the decision results.

An Integrated AFS-Based SWOT Analysis Approach for Evaluation of Strategies Under MCDM Environment

This article outlines the development of a hybrid methodology aimed to help the policymakers in strategic planning. The proposed methodology integrates the axiomatic fuzzy set (AFS) theory, analytic hierarchy process (AHP), and the concept of simple additive weighting (SAW) to evaluate the strategies by strengths, weaknesses, opportunities, and threats (SWOT) analysis. The combination of AHP with SWOT yields analytically determined weights of the factors included in SWOT analysis. The SAW technique provides a flexible technique to obtain the final ranking of strategies in multi-criteria decision situations. In SAW, the strategies are described using the AFS-based AHP calculation framework for normalization and consistent ratings over the SWOT factors. The AFS theory is incorporated in the model to overcome the uncertainty and ambiguity in human decision-making processes. The proposed integrated methodology copes with the inconsistency caused by different types of fuzzy numbers and normalization methods required in solving multi-criteria decision-making (MCDM) problems. A real-world application is conducted to illustrate the utilization of the model to evaluate SWOT analysis and strategies for tourism development.

Resilient supplier selection and segmentation in grey environment

Supplier management is one of the complex, sensitive and multifaceted measures in supply chain that has the most effect on the successful performance of a supply chain. Selection, segmentation and development of the supplier are three important parts of supplier management. With globalization and increasing disruption and vulnerability of supply chain, the resilience of all components of supply chain is necessary. For this reason, the present study was conducted with consideration of two dimensions of resilience enhancer and resilience reducer to select and segment suppliers. The Grey DEMATEL technique was used to determine the importance degree of the criteria for each of these two dimensions, and then, using Grey Simple Additive Weighting technique (GSAW), the score of each supplier was determined according to each dimension. Based on the findings, customization was known the most important enhancer criterion and the supplier's capacity limit was the most significant reducer. Finally, vulnerable, sensitive, volatile and resilient suppliers were identified in accordance with the suppliers' score in both enhancer and reducer dimensions, and strategies were also provided for supplier development.

The Geographic Information System Development for Selection of Green Open Space in Urban Densely Area

Utilization of integrated Decision Support System and GIS as one of the intelligent computerized system can be used to help make decisions quickly, accurately, and consistently. This research aims to apply Simple Additive Weighting (SAW) and built application system with ArcGIS platform to determination of urban Green Open Space (GOS) location in densely populated area. The study was conducted in Samarinda City, used secondary data and obtained from the Sanitation and Gardening Agency. Data were collected by survey and interview with experts and using Waterfall Framework for software development method. The research has resulted the priority sequence of GOS location of densely area of Samarinda City. The first priority location is the location under Juanda Flyover Bridge. Research has also developed Web based GIS software application of GOS location determination using SAW technique.

Incorporation of dietary fiber concentrates from fruit and vegetable wastes in butter: effects on physicochemical, textural, and sensory properties

The effect of dietary fiber concentrate on the physicochemical, texture, and sensory characteristics in butter was studied by using some new fibers from vegetable and fruit waste. The basic aim of this study was to increase and develop the bio-functional properties of the butter by using fiber concentrates. For this reason new alternative dietary fiber concentrate sources were investigated and developed by using vegetable and fruit wastes such as stone pears, celery root, celery leaves, spinach, oranges, and orange albedo. Dry matter, ash, pH, protein, dietary fiber content, glucose retardation index, color analysis, and water- and oil-holding capacities as technological properties of samples were analyzed. Dry matter, ash, and pH values of dietary fiber concentrates were observed in the range of 5.79–8.87 %, 0.45–0.96 %, and 3.90–6.48, respectively. As technological properties of samples, water- and oil-holding capacities and fiber contents of dietary fiber concentrates were changed 2.3–8.4 mL/g, 1.8–6.4 mL/g, and 65.45–87.32 %, respectively. On the other hand, it was seen that all dietary fiber concentrates reduced glucose in dialysate when compared to control. Different concentrations (3 and 5 %) of dietary fiber concentrates were added to butter to increase its bio-functional properties. Color and textural properties of the butters were determined. The results showed that content and type of the dietary fiber concentrate in the butter model changed the hardness and the spreadability rating as textural properties and the same effects also were observed in color parameters and sensory evaluation. According to the simple additive weighting technique, stone pear dietary fiber concentrate (3 %) and orange albedo dietary fiber concentrate (5 %) samples were mostly preferred in each group. When the two groups were compared, simple additive weighting technique results showed that butter produced with stone pear dietary fiber concentrate (3 %) was the most preferred by panelists.

Risk Assessment of Human Activities on Protected Areas: A Case Study

ABSTRACTNo study has been done on the impact of anthropogenic risks on protected areas. This may be due to complexity and diversity of risk assessment indices. In this research, using multicriteria decision-making methods, qualitative and complex indices were converted to simple and quantitative indices by which anthropogenic risks affecting the Helleh Protected Area in Iran were analyzed. To this end, a questionnaire was prepared and delivered to Delphi panelists consisting of environmental expertise. In order to prioritize the identified risks, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytical Hierarchy Process (AHP), and Simple Additive Weighting Technique (SAW) were used as a subset of Multiple Attribute Decision-making methods (MADM). In this study, risk factors were evaluated using three criteria of severity, probability of occurrence, and sensitivity of the recipient environment. In order to reach enough transcendence (consensus on priority of risks), an integrated approach comprising average, Borda, and Copeland methods was used. The obtained results suggested that “dam inundation upstream of the study area” is a top-priority risky factor threatening the wetland. “Stopping water pumps from the wetland” and “use of modern irrigation systems” were recommended as the most effective managerial strategies to control the identified risk.

A novel method to extend SAW for decision-making problems with interval data

Article history: Received January 15, 2013 Accepted October 12, 2013 Available online November 4 2013 Decision making problem is the process of finding the best option out of all feasible alternatives. There are some methods for solving Multiple Criteria Decision-Making problems and Simple Additive Weighting (SAW) is one of the most popular ones. In this paper, among multi-criteria models in making complex decisions and multiple attribute models for the most preferable choice, SAW technique is extended using interval numbers. For this purpose, we first propose a method for extending Entropy method for dealing with interval data, and then the extended SAW method with interval data is proposed by using the interval weights derived by the proposed interval Entropy method. The extended SAW method is an algorithm to determine the most preferable choice out of all possible choices, when the input data are stated in interval. © 2014 Growing Science Ltd. All rights reserved.