Defuzzification Value Research Articles

Design and Development Research: Kounin Refugee Classroom Management Module for Limbongan Refugee Learning Centre

The purpose of this study is to design and develop a classroom management module based on the six strategies of Kounin Model for Limbongan Refugee Learning Centre (LRLC) Melaka. The study employs three-phased Design and Development Research (DDR), a multi- method design. In the first phase, a review of literature on refugee education and Needs Analysis was conducted at LRLC to explore their lacks, wants and needs through focus group discussion. The data was collected and analysed utilizing deductive Thematic Analysis manually. Thus, the finding was that the novice teachers do require material and training in to effectively manage refugee classrooms since they lack the necessary abilities. This therefore led to the second phase of DDR, in which a module was created namely, Kounin Refugee Classroom Management Module (KRCMM) by incorporating the six strategies of the Kounin Classroom Management Model (KCMM). During the designing and development of the Kounin Classroom Management Module (KRCMM), ten experts were engaged to conduct preliminary content validation of the draft. To get to experts’ consensus, KRCMM had to go through three rounds of fuzzy Delphi. According to the findings, every item had an expert agreement percentage of 90% or higher, that item defuzzification values were more than α - cut = 0.8, and that all items had Threshold (d) < 0.2 values. This indicates that every item has been maintained and has garnered expert consensus. While in the third stage, the perceived usefulness and ease of use of KRCMM were examined from the perspectives of six LRLC participants. Thematic Analysis was used to gather and analyze data inductively utilizing QDA Miner, an analytical tool. According to usability test result, KRCMM was deemed useful and easy to use by five out of six participants

Integrasi Metode E-Servqual dan Metode Fuzzy pada Pengukuran Kualitas Pelayananan aplikasi Jamsostek Mobile

The business world continues to improvise and innovate in order to retain customers as the market becomes increasingly dynamic due to advances in information technology and telecommunications. Effective and efficient shopping, purchasing and distribution using a site design called E-Service Quality. This study seeks to ascertain what quality standards need to be improved and assess the level of service provided by Jamsostek Mobile (JMO) by utilizing E-Servqual (Service Quality) and a fuzzy approach, 20 criteria and 6 dimensions, namely efficiency, compliance, system availability, privacy, responsiveness, contacts for analysis. The findings of this study reveal that Jamsostek Mobile (JMO) customer service is of good quality. Jamsostek Mobile (JMO) performance often meets consumer expectations. Only one dimension, namely System Availability, has a negative value. 18 criteria have positive gap values ??while the other 2 have negative gap values ??based on the expected and expected defuzzification values ??of the 20 criteria. Jamsostek Mobile (JMO) users consider several characteristics to be so significant that they are assessed as top priorities using a Cartesian diagram. Even so, the Jamsostek Mobile (JMO) service is still below standard in terms of System Availability, with the requirements being that the Jamsostek Mobile (JMO) application system must function perfectly and offer excellent customer support for information requests and complaints

Design and Development of Numflex Application for Number System Learning: A DDR Approach with Fuzzy Delphi Method

This study presents the design and development of the NumFlex App, an interactive educational tool aimed at improving students’ understanding of number system conversions (binary, octal, decimal, hexadecimal) in secondary schools. The objective was to obtain expert agreement and views on the app’s content, interaction, and interface design. Using the Fuzzy Delphi Method (FDM) and a 7-point Likert scale, responses were collected from seven experts in various fields of education. The data were analyzed using triangular fuzzy numbers, and the ranking of each variable was determined through the defuzzification process. The study followed a Design and Development Research (DDR) methodology, starting with a Nominal Group Technique (NGT) to identify learning challenges. The findings demonstrated 100% expert consensus, with key elements such as content clarity (defuzzification value 0.95714) and interface design (defuzzification value 0.97143) ranked highest. The results confirm that NumFlex successfully integrates clear, pedagogically sound content with intuitive interactive features, making it an effective learning tool. Future research should focus on expanding the app to additional platforms and exploring its integration into the Malaysian national curriculum through collaboration with the Ministry of Education Malaysia (KPM) to broaden its educational impact.

Employing Fuzzy Delphi Techniques to Validate the Components and Contents of Role of Social Media in a Technology Acceptance Model towards Perception and Investment Intention in Cryptocurrency

Purpose: The purpose of this study is to assess the impact of social media on perceptions and investment intentions regarding cryptocurrency, using the Fuzzy Delphi Method (FDM) and the Technology Acceptance Model (TAM). Theoretical Reference: The theoretical framework for this study is based on the Fuzzy Delphi Method (FDM) for gathering expert feedback and the Technology Acceptance Model (TAM) for understanding the acceptance of technology. Method: The method involved collecting responses using a 7-point Likert scale and a panel of eight experts who reviewed and approved the survey items. The data were analyzed using triangular fuzzy numbering and defuzzification to determine the ranking of each variable. Results and Conclusion: The study found a high level of consensus among experts, with defuzzification values exceeding the α-cut >.5, and the overall threshold value (d) was less than .2, which is within the required threshold for percent consensus of over 75%. All 60 recommended items were deemed suitable for inclusion in a large-scale survey. Implications of Research: The research implies that there is a strong agreement among experts on the factors influencing the perceptions and investment intentions towards cryptocurrency as mediated by social media. This consensus can be used to inform a larger-scale survey and potentially guide investment and marketing strategies in the cryptocurrency domain. Originality/Value: The originality of this research lies in its application of the Fuzzy Delphi Method to the field of cryptocurrency and its combination with the Technology Acceptance Model to understand investment intentions influenced by social media. The value is in providing a methodologically sound basis for further large-scale research and offering insights into expert consensus on the topic.

The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers

In Taiwan, numerous company logistics centers have embraced installing solar photovoltaic power stations (SPPSs) on their rooftops. The primary objective of this study is to expedite the generation of green electricity for sale, bolstering the logistics center’s income and enhancing its environmental, social, and governance (ESG) profile. How can we secure solar photovoltaic power station (SPPS) projects with expedited construction timelines, reduced investment costs, and heightened quality aligned with the long-term ESG objectives? The study applies the critical path method (CPM) to determine the item’s path. Next, the mothed leverages Zimmermann’s mathematical models for nonlinear multi-objectives and Yager’s fuzzy sets to enhance project efficiency, minimizing completion time and cost while maximizing the quality ratio. Subsequently, the project uses Liou and Wang’s defuzzification values and incorporates Dong’s fuzzy to accelerate calculations. In this case, Project HP’s item J, the construction time is reduced from 24.3 to 3.2 days, ensuring that construction quality meets an 85% standard. Item J necessitates expanding the fuzzy cost interval (4549.90, 15,416.65, 26,283.41) (it refers to a scope of possible costs). It becomes evident that construction time plays a pivotal role in controlling costs. For Project HP’s item H, the unit time quality decision ranges from TWD 238,000 to 240,000, to turn into a cost interval of TWD 215,100, 239,000, and 262,900. Consequently, cost transformation transitions from an active to a more passive role, with quality and construction time becoming the driving components. This study uses a fuzzy nonlinear multi-objective model to guide the decision analysis of SPPSs within logistics centers. This strategy enables decision-makers to streamline logistics center operations, ensuring time, cost, and quality (TCQ) alignment during SPPS installation, thereby advancing ESG sustainability goals.

A Fuzzy Logic Approach of Pareto Optimality for Multi-objective Path Planning in case of Unmanned Surface Vehicle

Unmanned Surface Vehicles (USVs) are nowadays used in various applications for security, inspection and delivery among others. To operate in dynamic and complex environments efficiently demands an optimal path planning where multiple factors should be taken into account. In this paper, the multi-objective path planning problem of USV is formulated aiming to minimize the traveled distance maximizing in parallel the trajectory smoothness and energy efficiency. To address this multi-objective path planning problem with contradicting terms, the popular Ant Colony Optimization (ACO) algorithm is employed enhanced with the proposed Fuzzy Pareto framework. In particular, ACO is used to solve the problem by finding the Pareto solutions optimizing each single objective. Then these solutions are evaluated via the Mamdani fuzzy inference system to identify the optimal one. The ranking of the solutions is based on the defuzzification values. A case study is performed in a simulation area based on Saronic Gulf topology. The results showed that depending the needs of an operation and the conditions of the area of operations (number of obstacles, currents, and distance from the initial to the target point), each objective can impact the path quality differently.

Effect of Apple Pomace Powder Addition on the Physicochemical Properties of Oily Cakes and Ranking Samples by Delphi Fuzzy Approach

The current study is aimed to compare the effect of fat and/or wheat-flour substitution with apple pomace on the physicochemical and shelf-life of oily cakes. The sensory quality of samples was evaluated using the Delphi-Fuzzy logic method. The oily-cakes include the following: TCO: control; T W 10 % and T W 20 % : flour substitution with apple pomace (10 and 20% w/w); TO10% and TO20%: fat substitution with apple pomace (10 and 20% w/w); T W & O 5 : 5 and T W & O 10 : 10 : fat and wheat-flour substitution with apple pomace (5 : 5 and 10 : 10% w/w). The lowest and highest protein content were recorded for T w 20 % (10.0 ± 0.12%) and TO20% (11.0 ± 0.45%) ( p < 0.05 ). There was no significant difference between the fat content of control samples with T W 10 % , T W 20 % , and T O & W 5 : 5 ( p > 0.05 ). T W 20 % exhibited the highest fiber content (2.12%) and the lowest caloric (385.0 kcal/100 g) values. There was a significant difference between baking loss of TO10% (9.87%) and TO20% (9.36%) samples with control one (11.6%) ( p < 0.05 ). By reducing the fat content, smaller and lower porous was observed. The antioxidant and antimicrobial potential of apple pomace was not significant. Therefore, apple pomace had no significant effect on the shelf-life of cakes. Based on defuzzification values, the sensory ranking of samples was as follows: T C O 64.4 > T W 20 % 63.9 > T W & O 5 : 5 63.7 > T W 10 % 63.6 > T O 10 % 60.2 > T W & O 10 : 10 60.1 > T O 20 % 58.8 . Overall, apple pomace could be considered a cost-effective, sustainable, and healthy alternative to partial wheat-flour. Further research is required to produce reduced-fat cakes. Adding fruit powder along with fat replacers can be suggested for future studies.

Employing Fuzzy Delphi Techniques to Validate the Components and Contents of E-Learning Antecedents and Usage Behavior Towards E-Learning Performance

<p style="text-align:justify">The primary objective of this study is to require the experts’ unanimous agreement on the e-learning antecedents and usage behavior towards e-learning performance. This study used the Fuzzy Delphi Method (FDM) to gather answers and feedback using a 7-point Likert scale. The survey (items) was reviewed and approved by eight panel members or experts. It was analyzed using Fuzzy Delphi Logic (FUDELO 1.0) software. The data were evaluated using triangular fuzzy numbering and the position (ranking) of each variable was established through defuzzification. The findings revealed that all of the items received high levels of expert agreement, significantly greater α-cut defuzzification values >.5, the overall value of the threshold (d) is less than .2 and had to comply with the overall percentage of percent consensus, which must be greater than 75%. All 45 recommended items were retained adequately and acceptable for a large-scale survey in this study. Finally, each item was prioritized (ranked) based on the defuzzification value, and then some additional items were added, as recommended by experts.</p>

Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice

<span lang="EN-US">This research raises the topic of modern technology in the field of rice fields. The problem in this research is determining the fuzzy inference system algorithm for electronic engineering. The prototype was built by Raspberry Pi and python-based to the internet of things. The objective of this research is to design a new model for the rice field monitoring/control system and display every condition based on the internet of things. So that the hypothesis of this research can answer the phenomena that occur in rice fields, including drought problems, maintained plant conditions. The test results showed that irrigation control automatically runs optimally by scheduling, automatic irrigation control of water pH degree value detection analyzed by fuzzy Tsukamoto method at Z=3.5 defuzzification value for low and high irrigation control, and Z value=1.83 for normal irrigation control. Furthermore, the scheduling of spraying liquid fertilizer obtained the results of duration for 60 min in accordance with the needs of fertilizer dose. Lastly, for monitoring data on the website successfully accessed anywhere from the use of hosting servers and domains. Finally, it can be concluded that fuzzy Tsukamoto's algorithm is appropriate to be applied to the modern rice field system.</span>

Self-Initiated Professional Development (SI-PD) Elements for Malaysian Vocational Colleges’ TVET Teachers Using Fuzzy Delphi Method (FDM)

Self-Initiated Professional Development (SI-PD) has gained much attention lately due to increasing concern on the effectiveness of teachers’ professional development practice. It is also one of Ministry of Education (MOE) agenda in Malaysia Education Blueprint (MEB) 2013-2025 to transform Continuous Professional Development (CPD) by increasing Self-Initiated Professional Development (SI-PD) from 16 percent to 60 percent and reducing Ministry-led professional development by the year of 2025. Specifically, the aim of this study was to explore the elements required in Self-Initiated Professional Development (SI-PD) framework for TVET teachers in vocational colleges according to experts’ consensus. Fuzzy Delphi Method (FDM) was used as a tool in this study to explore the elements and data presented here were a part of a larger study which explored SI-PD among TVET teachers in Vocational Colleges. Nineteen experts were involved consisted of MOE officers, lecturers from universities and teacher training institutions who have at least five years of experience in teachers’ professional development and TVET. Based on the data analysis, the defuzzification values for all elements exceeded the minimum value 33.6 and therefore, the findings conclusively suggested that the experts have consensually agreed that there are ten elements required in Self-Initiated Professional Development (SI-PD). The ranking of the elements based on experts’ consensus was listed as follows, (1) Industrial attachment opportunity, (2) Attitude, (3) Understanding, (4) Collaborative environment, (5) School administrators’ role, (6) Strategy, (7) Readiness, (8) Autonomy, (9) Reward and (10) Professional development system. The findings were used to design Self-Initiated Professional Development (SI-PD) framework for TVET teachers in vocational colleges. This study also promotes the suitability of Fuzzy Delphi Method as a current research tool in the field of research on professional development. The proposed SI-PD elements can underpin TVET teachers’ professional learning and support the cultivation of Self-Directed Learning (SDL) which then enable changes in their teaching and learning practice to be more meaningful and effective.

Developing an Augmented Reality Immersive Learning Design (AILeaD) Framework: A Fuzzy Delphi Approach

The use of augmented reality as a teaching aid among teachers is becoming more widespread. So, it is a must to create a holistic framework of augmented reality in order to enhance the teaching and learning context. Therefore, the purpose of this study is to develop an augmented reality immersive learning design (AILeaD) framework by using the Fuzzy Delphi Technique. The objective of this research is to gain experts’ consensus in building and identifying constructs and elements as well as their place in the AILeaD framework. The Fuzzy Delphi Technique is used as a systematic method to evaluate, verify as well as to make a decision in modifying all needed constructs and elements in order to create the AILeaD framework through the consensus of the experts. The research questionnaire is divided into three sections which are technology skills, instructional designs and type of augmented reality applications in a total of 36 items and using the Likert-7point scale. The sample of this research consists of 10 experts from educational technology, teaching technology, augmented reality and model development. The finding showed that the experts agreed and approved all of the constructs and elements where the three conditions were fulfilled which are the item value is less than or same with the threshold value (d) < 0.2, experts' consensus percentage exceeded 75% and defuzzification value per item exceeded α-cut = 0.5. This study could contribute to the educational policy that focuses on the development of teaching quality with the improvement of existing skills among educators through the innovation and utilization of technology in the teaching and learning context. This is in line with Malaysia Education Blueprint known as Shift 7 (2013 – 2025) where it leverages the utilization of ICT to enhance the quality of education in Malaysia. The implication of this study is to make the AILeaD framework as a guideline for teachers, lecturers and instructional designers in producing the teaching aids in accordance with augmented reality and taking Gagne Nine Events, Cognitive Theory of Multimedia Learning dan Revised Bloom Taxonomy into account.

DEVELOPMENT OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) SKILLS AMONG STUDENTS WITH LEARNING DISABILITIES (SLD) IN MALAYSIA AND UKRAINE

This study aims to develop Information and Communication Technology (ICT)’s skills for Students with Learning Disabilities (SLD) in Malaysia and Ukraine. Methodology used in this study is based on the Universal Learning Design implementation which involved three phases: Preparation, Integration and Assessment. The Preparation and Integration Phases are the stages for designing ICT activities and practicing digital skills. While the Assessment Phase is the phase to determine the usability of ICT for SLD. The findings of the study show that the Preparation and Integration Phases study are the most effective types of activities for digital skills development. It is obtained from the opinion of the experts in ICT related to learning content ranging from simple to complex with a defuzzification value of 0.939. The results of the Assessment Phase show that SLD can develop their ICT’s skills by using videos related to real situations. It also provides SLD with activities that can build a communication network between them and public and private institutions. All these activities were provided to stimulate and motivate them to work hard to achieve the desired goals.

Customer satisfaction in quality measurement services: A hybrid customer satisfaction analysis

Developments in the business world have always experienced rapid growth to date, and both businesses are engaged in services or non-service fields. The development of an economy accompanied by the development of technology and science creates increasingly fierce competition, especially in quality measurement services. Therefore, this study presents a Fuzzy-SERVQUAL, IPA, and PGCV Index method, which adequately assists practitioners in identifying critical service attributes. Satisfaction analysis used the Fuzzy-SERVQUAL method to obtain a defuzzification value where the results are inputs for the IPA method. The IPA method found that the weaker attributes of the quality measurement services are prices that need to be linear with the quality and should promptly resolve problems. The PGCV Index method ranks the service attributes prioritized to improve efforts to improve the quality of service. This framework enables quality measurement services to identify their current quality level and focus on weaker attributes to improve their service quality.

Optimal Control Analyze the Bulk arrival Queueing system using Estimation Theory

In this paper, we analyze the system performance in FM/FM(k)/∞ using Estimation theory. Initially, we convert Erlang queueing system into fuzzy Erlang system, using Alpha – cut method and obtain different possible values of α . Finally, using Robust ranking method it’s helpful to measure the defuzzification values and analyzes the unique optimization of system performance.

FRAMEWORK FOR DEVELOPING INTELLECTUAL SKILLS USING COLLABORATIVE LEARNING TOOLS: THE EXPERTS’ CONSENSUS

Background and Purpose: Students in higher education need intellectual skills for critical thinking, problem-solving and creating new knowledge. Social interactions during collaborative learning (CL) encourage these cognitive processes. However, instructors lack the skill to develop intellectual skills using appropriate pedagogy and CL tools. Hence, this study seeks to develop a framework for developing intellectual skills.
 
 Methodology: The Fuzzy Delphi Method (FDM) was employed to identify and determine consensus on elements to teach intellectual skills among 16 panel of experts in educational technology and continuous professional development. In the first round, semi-structured interviews were conducted among four experts and the themes emerging from the interviews were used to develop the FDM questionnaire. The questionnaire was used in the second round of the FDM to determine consensus among the experts based on calculations of the defuzzification value.
 
 Findings: The consensus among the experts is that resources for teaching intellectual skills are videos, interactive slides, animation/graphics and quizzes while the corresponding assessments are student-generated contents (i.e videos, infographic posters, interactive slides and designed products).
 
 Contribution: The framework with the instructional strategies, resources and assessment provides a guideline for instructors to plan instruction for developing intellectual skills and generating new knowledge.
 Keywords: intellectual skills, collaborative learning, collaborative learning tools, Fuzzy Delphi, Merrill’s First Principles of Instruction
 
 Cite as: Vasodavan, V., DeWitt, D., & Alias, N. (2021). Framework for developing intellectual skills using collaborative learning tools: The experts’ consensus. Journal of Nusantara Studies, 6(1), 284-308. http://dx.doi.org/10.24200/jonus.vol6iss1pp284-308

The Relevance Analysis of Regulation Clarity Degree and Human Error Contribution to Ship Collision Accidents

Yang, B.; Zhao, Z., and Zheng, G., 2020. The relevance analysis of regulation clarity degree and human error contribution to ship collision accidents. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 32–36. Coconut Creek (Florida), ISSN 0749-0208.Analyzed in this paper is the correlation between the risk degree of the human risk factor in collision accidents at sea and the clarity degree of regulations related to the risk factor. The risk degree of each factor is analyzed based on the fuzzy rule-based Fine-Kinney method. The defuzzification contribution value of each risk factor to collision accidents is obtained. The confidence value in a priori algorithms of each human risk factor in accidents is obtained by mining the data of 481 accidents in the Liaoning sea area from 2005 to 2014. Nine experts score the clarity degree of the management regulations which are relevant to each risk factor. And the Analytic Hierarchy Process (AHP) weight value of each factor's clarity is calculated by the AHP. The AHP weight values cannot express the clarity degree, but they are approximately equal to one in a million of evaluation scores in the Fine-Kinney method whose score can express the clarity degree. Then the AHP weight values, instead of Fine-Kinney scores of the clarity degrees, are compared with the fuzzy rule-based Fine-Kinney defuzzification contribution values and the a priori algorithm confidence values of the human risk factors in collisions, respectively. The AHP weight values are a negative linear correlation with the defuzzification values and confidence values. This demonstrates that the more clarified the relevant regulations are, the lower the risk of the human factor in ship collision avoidance operation will be.

The Application of The Fuzzy Delphi Method (Fdm) in Developing Contract Parameters For Shari‘ah Compliant E-Commerce

E-commerce has become a norm among today’s world community including in Malaysia. The Muslim community, with no exception, is also involved in this modern transaction as it is now expanding rapidly. Nevertheless, such transactions need to be ensured in accordance with the principle of sale and purchase according to the Islamic fiqh. Using a quantitative approach based on the Fuzzy Delphi Method, this study aims to analyse the consensus of 12 panels of muamalat experts to develop items that need to be present in the Shari‘ah compliant e-commerce contract parameters. This research adopts the research design based on the design and development (DDR) technic involving three phases – analysis, design and development, and evaluation phases. This article aims to analyse the second phase of the process and findings, that is, the design and development phase. This phase intends to analyse the group consensus on the 29 parameters suggested by the researcher. The process involves some procedures for obtaining threshold value (d), percentage of expert consensus, and defuzzification value using Likert 7-Point scale questionnaire instrument. The result of the study comes to a conclusion that the expert group has reached a consensus for 28 item parameters with defuzzification value exceeding the value of α-cut = 0.5 (based on the threshold value ≤ 0.2 and expert consensus exceeding 75%). The findings also show the dimension of products and prices reaches the highest value compared to the dimensions of contracting parties and form of contract. In short, the application of Fuzzy Delphi Method has resulted in a Shari‘ah compliant e-commerce contract parameters which can contribute to larger studies, such as the development of Shari‘ah compliant e-commerce transaction model or prototype.

A Quest for Experts' Consensus on the Geo-Education Module Using Fuzzy Delphi Analysis

Education for sustainable development allows each modern humans being to obtain the information, skills, attitudes and principles necessary to shape a sustainable future. The word Geo derives from the Greek word meaning earth which can also be interpreted in the sense of land, global or Earth-related. The purpose of this study is to analyze expert consensus for the new educational module, Geo-Education. The objective of this study is to obtain from 12 expert views to build the questionnaire of Fuzzy Delphi Method (FDM) in 10 points Likert scale and consensus on Primer; Natural Ecosystem; Issues and Problems; Sustainable Lifestyle; and Cross-Curricular. The methodology of this research used quantitative fuzzy Delphi analysis. The instrument consists of five sections covering 25 review items for expert consensus. The findings show that experts have consensus agree on all 25 items exceeds 75%, and all defuzzification values for each item exceeds the value of α-cut = 0.5. That means all those items are accepted by the experts. Fuzzy Delphi Method enhanced the accuracy of the questionnaire about Geo-Education module. This study has provided preliminary information on Geo-Education module aspects that need to be focused on Primary; Natural Ecosystem; Issues and Problems; Sustainable Lifestyle; and Cross-Curricular in the process of developing effective teaching and learning modules. The implication concludes that the Geo-Education Module can be used as guidance to the Ministry of Education Malaysia to supplement the teaching materials to teachers training institutes.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KONSENTRASI BIDANG ILMU EKONOMI MENGGUNAKAN METODE WEIGHTED AVERAGE DAN FUZZY FIS TSUKOMOTO ( Studi Kasus Program Magister Manajemen IIB Darmajaya )

Postgraduate IIB Darmajaya in Management program in its curriculum offers concentration subjects in the third semester. Concentrations in the field of economics are grouped into three concentrations namely marketing, human resources (HR) and finance (Finance). In the third-semester students are required to choose one concentration of the field of economics according to their competence. But the obstacle is often found in the choice of concentration in the field of economics is that many students still unable recognize their interests and abilities. Besides, many students who choose the concentration in the field of economics only follow the most specialization, but do not follow based on their abilities. According to that, it requires the tool to able to provide decision support in term of selecting concentrations based on predetermined considerations. The methods used in solving this problem are Weighted Average Method and Tsukomoto Fuzzy FIS Method with 4 (four) input variables and 3 (three) output variables. Input variables consist of subject values, interest values, motivation values , and abilities. While the output variable consists of marketing concentration, human resources (HR) and finance (Finance) The sample was taken from second semester students of Master of Management.The test results show that the recommendation for the selection of the right concentration for these students is Financial specialization with a Defuzzification value of 65.91 higher than Marketing and Human Resources specialization which is 64,69 and 64,59, respectively Keywords: Decision Support System, Weighted Average Method, Tsukomoto Fuzzy FIS Method, Concentration

Ranking and Similarity Measures of Interval-Valued Pentagonal Fuzzy Numbers

We define generalized interval-valued pentagonal fuzzy numbers. Based on the height of the lower and upper pentagonal fuzzy numbers we propose to categorize interval-valued pentagonal fuzzy numbers into three different categories. Using signed distance concept de-fuzzification of interval-valued pentagonal fuzzy numbers is proposed and mathematical formulas are derived using   cut representations. We also introduce two similarity measures for interval-valued pentagonal fuzzy numbers based on geometric distance, area and height of pentagonal fuzzy numbers and geometric distance, perimeter and height of pentagonal fuzzy numbers respectively. Algorithms for finding de-fuzzification value and similarity measures are proposed with flow-chart illustration.