scholarly journals Impact of the Orientation of the Ordered Fuzzy Assessment on the Simple Additive Weighted Method

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1104 ◽  
Author(s):  
Piasecki ◽  
Roszkowska ◽  
Łyczkowska-Hanćkowiak
Keyword(s):  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
Weighting Method ◽  
Centrally Symmetric ◽  
Decision Alternative ◽  
Simple Additive Weighting ◽  
Fuzzy Assessment ◽  
Decision Alternatives ◽  
The Right ◽  
Increase In Risk

We examine some aspects of the use of Simple Additive Weighting method to evaluate decision alternatives. Decision alternative attributes may be evaluated by verbal assessments which by their nature are imprecise. This means that for the purposes of Simple Additive Weighting method, any verbal assessment is represented by a fuzzy number being an imprecise approximation of a number. In this paper, all verbal assessments are represented by ordered fuzzy numbers. This approach is justified in the way that any ordered fuzzy number is additionally equipped with orientation, i.e., information about the location of the approximated number. The family of all ordered fuzzy numbers is divided into centrally symmetric families of positively oriented fuzzy numbers and of negatively oriented fuzzy numbers. The main purpose of this paper is to examine the consequences of omitting orientation of criterion ratings. We restrict all considerations to the case of trapezoidal oriented fuzzy numbers. We prove the mathematical theorem that an orientation omission can result in an increase in risk when choosing the right decision alternative. We study an empirical example of the Simple Additive Weighting method application to rank some negotiation offers. From the discussion, it follows that an orientation omission results in an increase in risk.

scholarly journals Simple Additive Weighting Method Equipped with Fuzzy Ranking of Evaluated Alternatives

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 482 ◽  
Author(s):  
Krzysztof Piasecki ◽  
Ewa Roszkowska ◽  
Anna Łyczkowska-Hanćkowiak
Keyword(s):  
Scoring System ◽  
Fuzzy Numbers ◽  
Scoring Function ◽  
Weighting Method ◽  
Nonincreasing Sequence ◽  
Decision Alternative ◽  
Ranking Of Alternatives ◽  
Fuzzy Ranking ◽  
Simple Additive Weighting ◽  
Decision Alternatives

From the perspective of each evaluation criterion, any decision alternative is evaluated by means of trapezoidal ordered fuzzy numbers (TrOFN). This approach is justified in the way that some criteria are linguistically evaluated. In this paper, decision alternatives are evaluated using oriented fuzzy Simple Additive Weighting (OF-SAW) scoring function. The ranking of alternatives may be defined by means of a nonincreasing sequence of defuzzified values of a scoring function. Any defuzzification procedure distorts ordered fuzzy numbers in a way that information on imprecision and orientation is lost. This undermines the credibility of the determined alternatives’ ranking. The main purpose of this paper is to avoid the defuzzification stage in the OF-SAW method. Thus, the OF-SAW method is equipped with fuzzy scoring order. This OF-SAW method is described as a negotiation scoring system. We study an empirical example of the OF-SAW application and rank some negotiation offers. Here, we focus on the effects of replacing the defuzzified scoring function by a fuzzy one. The obtained conclusions are generalized for the case of any decision alternatives.

scholarly journals Implementation of the Simple Additive Weighting Method in Determining Centroids in the Process of Clustering the Poor in Kakatpenjalin Village, Lamongan Regency

2021 ◽  
Vol 5 (2) ◽  
pp. 85-93
Author(s):  
Arifan Dwi Maulana ◽  
Indra Gita Anugrah
Keyword(s):  
Decision Support ◽  
Weighting Method ◽  
Related Research ◽  
Cluster Centre ◽  
The Poor ◽  
Simple Additive Weighting ◽  
The Right ◽  
Data Group ◽  
Good Cluster ◽  
Selection Of

Clustering is an algorithm in a decision support system that functions to organize an object into groups of data. In the clustering process, of course, a cluster centre is needed by the desired data group. However, the clustering process has a problem. Related research states that the results of k-means clustering can influence the selection of cluster centre points. Random selection of cluster centre points can result in different clustering results in the same data group. Not only on k-means, but k-medoids also have the same problem. So that to produce a good cluster, you must start by choosing the right cluster centre. To solve this problem, the Simple Additive Weighting method is used to select the centre point of the cluster. Simple Additive Weighting selects the centre point of the cluster by adding and summarizing the dataset. The summation is done by giving weight to each criterion and each criterion has its alternative value. From this weighted addition, the final value will be obtained. From the sum of SAW, then one of the objects with the highest and lowest values ​​can be taken to serve as the centre of the cluster.

scholarly journals SISTEM PENUNJANG KEPUTUSAN PEMILIHAN PENGURUS INTI DAN ANGGOTA BARU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) BERBASIS WEBSITE (STUDI KASUS: HIMPUNAN MAHASISWA TEKNIK INFORMATIKA UNIVERSITAS PALANGKA RAYA)

2019 ◽  
Vol 13 (1) ◽  
pp. 58-67
Author(s):  
Licantik Licantik ◽  
Widiatry Widiatry ◽  
Pebriana Lorenza
Keyword(s):  
Engineering Students ◽  
Test Results ◽  
Decision Matrix ◽  
Weighting Method ◽  
New Members ◽  
Suitability Assessment ◽  
The Matrix ◽  
Simple Additive Weighting ◽  
The Right ◽  
Selection Of

Informatics Engineering of Palangka Raya University have an organization that called Himpunan Mahasiswa Teknik Informatika (HMTI). Problems that are often encountered in a set one of them is in taking the best choice for candidates for core management and membership in each new management period. Another obstacle faced is in making decisions not using methods that can handle these problems with many criteria. The number of considerations certainly has the hope of obtaining good human resources for the set, it's just that sometimes it becomes a difficulty for the old management to take the best choice for the right successor candidate and in accordance with the position and division in the set so that a container is needed to bridge these activities so that they can run well and effectively. The methodology used in the development is by simple additive weighting method and Waterfall According to Sommerville. simple additive weighting method has 4 steps that is determine the criteria, determine the suitability assessment, make a decision matrix based on criteria (Ci) then normalize the matrix, then summarize the multiplication of the R atomized matrix with the increase vector, get the large value chosen as the best (Ai) as a solution.From the test results it can be concluded that the decision support system website for the selection of core managers and new members using the simple additive weighting method at the Collection Informatics Engineering Students of Palangka Raya University is going well

scholarly journals Application of Simple Additive Weighting Method for Determination of Toddler Nutrition Status

SinkrOn ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 19 ◽  
Author(s):  
Mohammad Badrul ◽  
Rusdiansyah Rusdiansyah ◽  
Cahyani Budihartanti
Keyword(s):  
Nutritional Status ◽  
Nutrition Status ◽  
Weighting Method ◽  
Children Under Five ◽  
Under Five ◽  
A Value ◽  
Poor Nutritional Status ◽  
Simple Additive Weighting ◽  
Nutritional Status Of Children ◽  
The Right

The nutritional status of children under five is measured by age, weight and height. The weight and height variables are presented in the form of three anthropometric indicators namely weight by age, height by age, and weight by height. By using these indicators the Cipadu-Kreo health center sometimes determines the nutritional status of children under five years of age. Therefore the simple additive weighting (SAW) method is able to decide the nutritional status of toddlers by adding a toddler's body mass index variable, so as to produce the right and valid decision. Then from 20 samples of toddlers categorizing by age group. Obtained the nutritional status results there are 1 toddler get a SAW value of 0.44 with poor nutritional status, 3 toddlers with undernourished status, 8 toddlers with excess nutrition status and 8 toddlers with a balanced nutrition status with the highest SAW value with a value

Development of SAW (Simple Additive Weighting) Method for Decision Support System of Sembako Price Control

2019 ◽  
Vol 1 (1) ◽  
pp. 34-41
Author(s):  
Sri Wulandari ◽  
Adityo Permana Wibowo
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Food Prices ◽  
Price Control ◽  
Weighting Method ◽  
Method Of Calculation ◽  
Simple Additive Weighting ◽  
Entity Relationship Diagram ◽  
The Right ◽  
Alternative Solutions

The Supporting System The decision to control basic food prices at the fisheries and forestry service is a system designed to assist relevant agencies in seeing prices of basic necessities which tend to increase at any time. At first the relevant agencies do recap calculations by storing data and still counting manually, so it requires a longer time, with the existence of this system it is expected to be able to help and provide solutions for consideration of decision making in accordance with the right calculations. The decision support method of calculation used is the SAW method that takes the greatest value to be used as a decision-making ranking. In addition, other methods used are data collection methods by observation and interviews to identify problems in developing support systems for basic food price control decisions. Model design is described using data flow diagrams (DAD) and entity relationship diagram (ERD). The system developed is able to record, calculate and provide alternative solutions effectively for relevant agencies. With this system, agencies are expected to be able to process the calculation of basic food prices better, select more accurate decisions, and take more effective alternative solutions.

scholarly journals Rekayasa Perangkat Lunak Performance Indicator dalam Penentuan Penilaian Karyawan dengan Metode Simple Additive Weighting

2020 ◽  
Vol 3 (4) ◽  
pp. 265
Author(s):  
Yansen Yansen ◽  
Zifa Fauziah ◽  
Yesica Wisda Ananda ◽  
Yulianti Yulianti
Keyword(s):  
Human Resources ◽  
Performance Appraisal ◽  
Performance Indicator ◽  
Employee Performance ◽  
Indicator System ◽  
Assessment Process ◽  
Weighting Method ◽  
Simple Additive Weighting ◽  
Data Documentation ◽  
The Right

Employee appraisal is an important factor in the development of a company effectively and efficiently because employee appraisal is one of many indicators in measuring the background of human resources system in the company. Determining the right indicators of human resources can motivate better employee performance. To support this kind of system, a software engineering with Performance Indicator system is needed and data collection techniques by direct observation and data documentation are needed. Application of engineering Key Performance Indicator software for employee performance appraisal using the Simple Additive Weighting method can result in the efficiency of the assessment process in determining the quality of an employee's performance. as well as assisting employees in knowing the results of performance evaluation, and making it easier for supervisors to obtain reports on sales performance ratings so that superiors can and make determine the amount of salary, commision and bonus increases more precisely and efficiently.

scholarly journals Simple Additive Weighting for Decision Support Selection of Expedition Services

SinkrOn ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 115
Author(s):  
Suhar Janti ◽  
Mohammad Adriansyah ◽  
Ghofar Taufik
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Service Provider ◽  
Service Providers ◽  
Weighting Method ◽  
A Value ◽  
Simple Additive Weighting ◽  
Freight Forwarding ◽  
The Right ◽  
Selection Of

Freight forwarding services are increasingly developing and each delivery service provider competes to provide the best service, resulting in competition in terms of price and delivery time, in order to attract the attention of users of shipping services. The number of service providers with various types of packages offered by freight forwarding services, making users difficult in determining the right service provider. One way to overcome this problem is by the existence of a method that can provide recommendations as consideration for making appropriate decisions. This study aims to create a decision support system for the selection of goods delivery services by applying the Simple Additive Weighting method that can solve problems by comparing between shipping services. The results of this study are in the form of conclusion calculations that can be taken into consideration for decision making in choosing the most widely chosen freight forwarding services for students and getting the best results in decision making. The results of calculations using the Simple Additive Weighting method, the highest value based on time criteria is JNE YES with a value of 0.73, based on price criteria is a vehicle with a value of 0.68, based on the weight criteria is JNE YES with a value of 0.75, while based on the volume criteria the highest value is a vehicle with a value of 0.70 .

scholarly journals Implementation of Simple Additive Weighting Method in Evaluating Employee Performance for Job Promotion Recommendations

Webology ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 123-132
Author(s):  
Jeperson Hutahaean ◽  
Seri Suriani ◽  
Supriy anto ◽  
Harma yani ◽  
Muhammad Amin ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Employee Performance ◽  
Research Assessment ◽  
Weighting Method ◽  
Education Experience ◽  
Simple Additive Weighting ◽  
The Right

The implementation of decision support system tools in providing decision support for management is absolutely necessary. In its application, this aims to make the decision effective so that the decisions produced can be objective. This research discusses employee performance appraisal by implementing a decision support system. Many methods of decision support systems that can be used to rank, but in this study, the authors use the ranking method known as Simple Additive Weighting (SAW). The SAW method works by summing the weighted attributes that are interrelated. This method is quite simple and is able to provide the right decisions for employees who have the best performance to be recommended in job promotions. In this research, assessment attributes are used, namely education, experience, expertise, collaboration, work quality, and discipline. The final results show that employees on behalf of Ferdinal have the highest value with a value of 0.850.

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