Fuzzy Outranking Methods Including Fuzzy PROMETHEE

2011 ◽  
pp. 784-804
Author(s):  
Malcolm Beynon
Keyword(s):  
Public Services ◽  
Graphical Representation ◽  
Real Life ◽  
Data Retrieval ◽  
Preference Ranking ◽  
Outranking Methods ◽  
Ranking Analysis ◽  
Fuzzy Promethee

Outranking methods are a family of techniques concerned with ranking the preference for alternatives based on the criteria values that describe them. The breadth of applications taking inference from such preference ranking analysis includes the areas of business, health, environment, marketing, and public services. In the context of databases, the ranking issue is closely associated with data retrieval, including the ranking of matches to queries. This chapter describes the rudiments of fuzzy outranking methods, with particular attention to one such approach, namely fuzzy PROMETHEE, compounded further with the different structures of defined fuzziness of the criteria values also considered. Alternative fuzzy PROMETHEE approaches are described, with one used in two real-life applications. The results presented, with emphasis on their graphical representation, offer insights into the appropriate application of such fuzzy outranking methods.

Analisis Motivasi Belajar Siswa SMP Dalam Pembalajaran Outdoor-Modeling Mathematics Berdasarkan Gaya Belajar

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Sofnidar ◽  
Hartina ◽  
Kamid ◽  
Khairul Anwar
Keyword(s):  
Student Behavior ◽  
Mathematics Learning ◽  
Real Life ◽  
Data Retrieval ◽  
Learning Activities ◽  
Learning Activity ◽  
Stimulus Selection ◽  
Learning Behavior ◽  
Research Subjects ◽  
Motor Activities

Prilaku belajar adalah suatu sikap y ang muncul dari diri siswa dalam menanggapi dan meresponi setiap kegiatan belajar mengajar yang terjadi. salah satu wujud dari prilaku adalah motivasi belajar. Menurut teori behavioristik, belajar adalah perubahan tingkah laku sebagai akibat adanya interaksi antara stimulus (rangsangan) dan respon (tanggapan). Stimulus yang diberikan guru dalam pembelajaran tertuang dalam rancangan aktifitas pembelajaran. Aktivitas pembelajaran merupakan kegiatan yang dirancang guru untuk mewujudkan dan atau menciptkan kondisi belajar siswa (stimulus). Pemilihan aktivitas belajar yang sesuai memungkinkan untuk terjadinya efektivitas pedagogis dalam mencapai tujuan pembelajaran, maupun dapat membentuk prilaku positif siswa (respon) dalam belajar. Desain pembelajaran berbasis outdoor-medelling mathematics memuat serangkain aktivitas kegiatan pembelajaran yang berbassis investigasi konteks masalah outdoor (masalah real life) dengan muatan konten materi modeling mathematics. Pada makalah ini akan membahas prilaku belajar dan bagaimana motivasi terbentuk melaui aktifitas kegiatan pebelajaran outdoor-medelling mathematics yang diklasifikasikan menjadi motoractivities mentalactivities, visualactivities, emotionalactivities, motoractivitie.Melalui metode kulitatif deskriptif, dengan mengambil 20 siswa kelas IX-B SMP N 1 Muaro Jambi yang mempunyai gaya belajar visual, auditorial, dan kinestetik. Setelah pelaksanaan pembelajaran, pengambilan data dilakukan melalui angket, dan lembar pengamatan beserta wawancara ke subjek penelitian. Hasil penelitian menunjukan bahwa aktivitas belajar dalam pembelajaran yang dapat memotivasi siswa belajar matematika adalah visualactivities sebesar 74,16%; motoractivities sebesar 96,67%; mentalactivities sebesar 71,66%; dan emotionalactivities sebesar 73,33%. Berdasarkan hasil analisis yang dilakukan aktivitas belajar dalam pembelajaran outdoor-medelling mathematics matematika yang paling dominan dapat memotivasi siswa belajar adalah motoractivities dengan persentasi 96,67% dengan kriteria sangat baik dan sangat memotivasi siswa belajar matematika dalam pembelajaran luar kelas. Indikatornya adalah melakukan percobaan. Kelebihan aktivitas belajar dalam pembelajaran outdoor-medelling mathematics adalah, aktivitas belajar lebih membuat siswa termotivasi untuk belajar matematika. Siswa menjadi lebih aktif dan interaksi dengan teman sesamanya semakin meningkat juga. Adapun kelemahan aktivitas belajar dalam pembelajaran luar kelas adalah sulit untuk siswa terfokus dalam aktivitas belajar yang sedang dilakukan.   Learning behavior is an attitude that arises from students in responding and responding to each teaching and learning activity that occurs. one form of behavior is learning motivation. According to behavioristic theory, learning is a change in behavior as a result of an interaction between stimulus (stimulus) and response (response). The stimulus given by the teacher in learning is contained in the design of learning activities. Learning activities are activities designed by the teacher to realize and or create the conditions for student learning (stimulus). Selection of appropriate learning activities allows for the occurrence of pedagogical effectiveness in achieving learning goals, and can form positive student behavior (response) in learning. Outdoor-based learning mathematics learning design contains a series of learning activities based on the context of outdoor problems (real life problems) with the content of modeling mathematics material. In this paper will discuss learning behavior and how motivation is formed through the activities of learning activities outdoor-modeling mathematics which are classified into mental activities, visual activities, emotional activities, motor activities. Through the descriptive qualitative method, taking 20 students of class IX-B Muaro Jambi Middle School 1 who have visual, auditory, and kinesthetic learning styles. after the implementation of learning, data retrieval was carried out through questionnaires, and observation sheets and interviews to the research subjects. The results showed that learning activities in learning that could motivate students to learn mathematics were visual activities at 74.16%, motor activities at 96.67%, mental activities at 71.66%, and emotional activities at 73.33 %%. Based on the results of the analysis carried out learning activities in mathematics outdoor-modeling mathematics learning the most dominant motivating students to learn is motor activities with a percentage of 96.67% with very good criteria and very motivating students to learn mathematics in learning outside the classroom. The indicator is to experiment. The advantages of learning activities in outdoor-modeling mathematics learning are that learning activities make students more motivated to learn mathematics. Students become more active and interactions with their peers also increase. The weaknesses of learning activities in learning outside the classroom is difficult for students to focus on the learning activities that are being done.

Computationally Simple and Efficient Method for Solving Real-Life Mixed Intuitionistic Fuzzy 3D Assignment Problems

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Assignment Problem ◽  
Graphical Representation ◽  
Real Life ◽  
Optimal Solution ◽  
Future Research ◽  
Assignment Problems ◽  
3 Dimensional ◽  
Intuitionistic Fuzzy ◽  
Comparison Results ◽  
Future Research Directions

This article addresses the 3-dimensional mixed intuitionistic fuzzy assignment problems (3D-MIFAPs). In this article, firstly, the author formulates an assignment problem (AP) and assumes the parameters are in uncertainty with hesitation. Secondly, based on the nature of the parameter the author defines various types of solid assignment problem (SAP) in uncertain environment. Thirdly, to solve 3D-MIFAP the PSK method for finding an optimal solution of fully intuitionistic fuzzy assignment problem (FIFAP) is extended by the author. Fourthly, the author presents the proofs of the proposed theorems and corollary. Fifthly, the proposed approach is illustrated with three numerical examples and the optimal objective value of 3D-MIFAP is obtained in the form of intuitionistic fuzzy number and the solution is checked with MATLAB and their coding are also given by the author. Sixthly, the author presents the comparison results and their graphical representation, merits and demerits of the proposed and existing methods and finally the author presents conclusion and future research directions.

Nonverbal Communication as a Means to Support Collaborative Interaction Assessment in 3D Virtual Environments for Learning

2010 ◽  
pp. 172-197
Author(s):  
Adriana Peña Pérez Negrón ◽  
Angélica de Antonio Jiménez
Keyword(s):  
Virtual Environments ◽  
Nonverbal Communication ◽  
Graphical Representation ◽  
Real Life ◽  
Learning Task ◽  
Desktop Application ◽  
Real Life Situation ◽  
Collaborative Interaction ◽  
Task Accomplishment ◽  
3D Virtual Environments

In the classrooms at school, when a group of students is working in a predetermined task, the teacher or the tutor identifies some problems related to collaboration by observing the students’ behavior. While interacting, people interchange messages composed of speech, actions and gestures, as the wordless messages emphasize, support or even substitute speech. In 3D collaborative virtual environments (CVE), the user’s graphical representation, an avatar, is the means to express this nonverbal communication (NVC). The authors’ proposal is that, like in a real learning scenario, by the observation of specific NVC cues, indicators of collaborative interaction can be inferred to an extent that they can be used to foster collaboration, if necessary, in a learning task situation. The various NVC cues that have been selected for that purpose and their corresponding collaborative learning interaction indicators will be presented. An exploratory study that consisted in the analysis of a real life situation during a collaborative task accomplishment, directed to the development of an experimental 3D CVE desktop application that allows avatars’ display of NVC cues, will be discussed.

scholarly journals Twitter Sentiment Analysis on Worldwide COVID-19 Outbreaks

2020 ◽  
pp. 54-65 ◽  
Author(s):  
Kamaran H. Manguri ◽  
Rebaz N. Ramadhan ◽  
Pshko R. Mohammed Amin
Keyword(s):  
Sentiment Analysis ◽  
Graphical Representation ◽  
Academic Research ◽  
Real Life ◽  
Government Agencies ◽  
Social Data ◽  
The Past ◽  
Twitter Data ◽  
Python Programming ◽  
The Web

In the past two decades, the growth of social data on the web has rapidly increased. This leads to researchers to access the data and information for many academic research and commercial uses. Social data on the web contains many real life events that occurred in daily life, today the global COVID-19 disease is spread worldwide. Many individuals including media organizations and government agencies are presenting the latest news and opinions regarding the coronavirus. In this study, the twitter data has been pulled out from Twitter social media, through python programming language, using Tweepy library, then by using TextBlob library in python, the sentiment analysis operation has been done. After the measuring sentiment analysis, the graphical representation has been provided on the data. The data we have collected on twitter are based on two specified hashtag keywords, which are (“COVID-19, coronavirus”). The date of searching data is seven days from 09-04-2020 to 15-04-2020. In the end a visualized presentation regarding the results and further explanation are provided.

scholarly journals Developing a Web Credibility Evaluation Tool Using PROMETHEE Method

2019 ◽  
Vol 12 (2) ◽  
pp. 46
Author(s):  
Mona Alghamdi ◽  
Khalid Alomar
Keyword(s):  
Pairwise Comparison ◽  
Preference Ranking ◽  
User Needs ◽  
Evaluation Tool ◽  
Website Evaluation ◽  
Coefficient Of Correlation ◽  
Automated Evaluation ◽  
Outranking Methods ◽  
Promethee Method ◽  
Web Credibility

In recent years, the Internet has become an indispensable way for users to find information which is almost instantaneously available. However, the presence of information on different websites makes the user needs to pre-check the credibility of the selected websites. Most users find it difficult to assess website credibility in terms of its particular characteristics or factors. Accordingly, we proposed an automated evaluation tool which considers various factors to assess the credibility of different websites and rank them from the highest credibility score to the lowest in order to allow the user to select the most credible website. We used the Preference Ranking Organization Method for Enrichment Evaluations (PROMOTHEE). The latter is one of the Multi-Criteria Decision Making methods (MCDM). It combines pairwise comparison and outranking methods in order to give more accurate and superior credibility scores due to its enrichment evaluations. For the proposed tool to be acceptable, we carried out a correlation analysis to determine the coefficient of correlation between human judges and the proposed tool. We found the coefficient of correlation rho is 0.943 which indicates that there is a strong correlation between the human judges’ ranking and the ranking given by the proposed website evaluation tool.

Automation of emergency response management group operation at major pipeline facilities

2020 ◽  
Vol 10 (1) ◽  
pp. 106-114
Author(s):  
Vitaly V. Stepanov ◽  
◽  
Eldar А. Isaev ◽  
Denis I. Stavitsky ◽  
◽  
...  
Keyword(s):  
Information System ◽  
Emergency Response ◽  
Human Factor ◽  
Far East ◽  
Real Life ◽  
Data Retrieval ◽  
Petroleum Products ◽  
Management Group ◽  
Management Groups ◽  
Major Pipeline

The efficiency of actions of emergency response personnel at major pipeline facilities is a key factor in minimizing accident consequences. In this paper the authors analyze command post exercises aimed at preparing for emergency responses (oil and petroleum products spill) with personnel working at Transneft enterprises. Shortcomings in organizing the operation of emergency response management groups have been identified. The main ones are as follows: lack of proper interaction and the necessary concurrence of actions of management group representatives; no algorithm for preparing reports and hence the failure to meet deadlines for submitting such reports to regulatory authorities. To some extent, these deficiencies have been minimized through the development and implementation of emergency reporting logs in routine practices of management groups. However, many processes have still been highly dependent on the human factor leading to errors, and the emergence and spread of false and contradictory information in the course of emergency response activities. An appropriate automated information system has been designed in order to minimize the effect of the human factor in organizing the work of emergency response management groups. The article presents its model, describing the algorithm of its operation and functionality. The system was introduced into production at Transneft Far East, LLC and was highly effective in terms of quality of document processing, optimizing time spent on report completion and submission, organizing data retrieval, and monitoring emergency response actions. The application of the developed information system has significantly reduced the number of demerits related to organizing the work of emergency response management groups. The system is unique in Russia: it can be used in real-life emergencies or for training personnel to act using the system’s training mode.

scholarly journals Citizen feedback as a tool for continuous improvement in local bodies

2018 ◽  
Vol 31 (1) ◽  
pp. 46-64 ◽  
Author(s):  
Alessandro Minelli ◽  
Renato Ruffini
Keyword(s):  
Continuous Improvement ◽  
Public Services ◽  
Data Retrieval ◽  
Target Population ◽  
Content Type ◽  
Main Research ◽  
Public Managers ◽  
The Rich ◽  
Normative Issues ◽  
Capital Development

Purpose The purpose of this paper is to contribute to the feedback discourse by exploring how public managers and politicians use complaints from citizens to improve the overall and specific performance of public services. The main research questions are: Can citizen complaints analysis be a useful planning tool in the public sector? What can public managers learn from citizen feedback? Design/methodology/approach Applying an empirical approach (Yin, 2005), the multiple case studies treated in the paper aim to clarify a series of decisions (particularly, why feedback is not used to its maximum potential). The overall design includes a defined set of questions, and the research protocol includes data retrieval, collection and analysis. A new cataloging model is proposed to homogenize the spectrum of analysis. This model is intended to create a parallel between two local bodies different in size, mission, and complexity, but which have front office facilities and are in the same territory and have the same potential target population. Findings In total, 698 complaints and 183 corrective or preventive actions were analyzed. Public managers’ attention seems to focus on technical or normative issues rather than on aspects of public services. This may be explained by the lack of funds for training, the scarce use of relational and human capital development leverage, and the concomitant necessity to guarantee at least the same level of services as provided in previous years, confirming the “Blame the rich and credit the poor” mantra. Originality/value This paper offers a strategic approach to learning from citizen’s feedback that other scholars or practitioners have not yet provided. There are many academic studies on customer feedback as a continuous improvement tool for the private sector, but few for public administration.

Back to basics: exploring perceptions of stakeholders within the Swedish fashion industry

2017 ◽  
Vol 13 (2) ◽  
pp. 266-278 ◽  
Author(s):  
Esben Rahbek Gjerdrum Pedersen ◽  
Linne Marie Lauesen ◽  
Arno Kourula
Keyword(s):  
Graphical Representation ◽  
Real Life ◽  
Future Research ◽  
Two Dimensional ◽  
Fashion Industry ◽  
Significant Discrepancy ◽  
Content Type ◽  
Novel Approach ◽  
Stakeholder Model ◽  
Stakeholder Environment

Purpose The purpose of this paper is to examine to what extent the conventional stakeholder model mirrors managerial perceptions of the stakeholder environment in the Swedish fashion industry. The authors aim to adopt a novel approach to stakeholder measurement, as the traditional stakeholder model is constrained by its static two-dimensional nature, which captures neither the nuances of the stakeholder literature nor the dynamics of the firm’s stakeholder universe. Design/methodology/approach Empirically, the paper is based on findings from a survey among 492 Swedish fashion manufacturers and retailers. Findings The paper reports significant discrepancy between the conventional stakeholder model and the perceptions of real-life managers of the stakeholder environment. On the surface, their understanding is more in line with the managerial model of the firm from which the stakeholder literature originally departs. It is argued, however, that the discrepancy may be rooted in technology rather than theory as the stakeholder model is constrained by its static two-dimensional nature, which captures neither the nuances of the stakeholder literature nor the dynamics of the firm’s stakeholder universe. The paper, therefore, introduces an animated alternative to the conventional stakeholder model that provides a richer graphical representation of a firm’s stakeholder universe. Research limitations/implications The paper refers to the open-ended questions in the survey in terms of descriptive statistics, and not the entire quantitative measures in the survey. This is because these questions are crucial to the authors’ approach to the suggested new stakeholder model, which is not tested quantitatively, but should be perceived as explorative – as a qualitative outcome of the survey. The survey is conducted through the web in the Swedish fashion industry only; thus; the authors’ suggested model needs further quantitative qualification, which the authors plead for in future research. Originality/value The originality of the paper is its novel approach to stakeholder measurement based on the perceptions of real-life managers of the stakeholder environment of the Swedish fashion industry. The traditional stakeholder model is constrained by its static two-dimensional nature, which the paper’s animated three-dimensional alternative provides a richer graphical representation of a firm’s stakeholder universe.

scholarly journals Multi-Criteria Group Decision-Making for Selection of Green Suppliers under Bipolar Fuzzy PROMETHEE Process

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 77 ◽  
Author(s):  
Muhammad Akram ◽  
Shumaiza ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Fuzzy Numbers ◽  
Preference Ranking ◽  
Preference Functions ◽  
Promethee Method ◽  
Usual Criterion ◽  
Green Suppliers ◽  
Bipolar Fuzzy Sets ◽  
Fuzzy Linguistic ◽  
Fuzzy Promethee ◽  
Selection Of

The preference ranking organization method for enrichment of evaluations (PROMETHEE) method considers a significant outranking class of multi-criteria decision analysis (MCDA), as it is easy to deal with its simple computations. In the PROMETHEE, different preference functions are used according to the type and nature of attributes or criteria that demonstrate the clearness and reliability of this method. This study provides a new version of the PROMETHEE method using bipolar fuzzy information, named the bipolar fuzzy PROMETHEE method. Bipolar fuzzy sets or numbers constitute an asymmetrical relationship between two judgmental factors of human reasoning. Vague and imprecise knowledge is characterized by bipolar fuzzy linguistic terms which are further represented in the form of trapezoidal bipolar fuzzy numbers. The trapezoidal bipolar fuzzy numbers are used by analysts to assign the preferences of alternatives on the basis of criteria. Further, a ranking function of bipolar fuzzy numbers is considered to access the crisp real preferences of alternatives. The entropy weighting information is employed to calculate the weights of attributes by considering the condition of normality. A numerical example such as the selection of green suppliers by using the bipolar fuzzy PROMETHEE is performed on the basis of the usual criterion preference function in order to explain the procedure of the proposed method. Comparable results are derived by using the combination of linear and level preference functions. The results obtained by using different types of preference functions are the same, representing the authenticity of the proposed bipolar fuzzy PROMETHEE method.

scholarly journals An m-Polar Fuzzy PROMETHEE Approach for AHP-Assisted Group Decision-Making

2020 ◽  
Vol 25 (2) ◽  
pp. 26 ◽  
Author(s):  
Muhammad Akram ◽  
Shumaiza ◽  
José Alcantud
Keyword(s):  
Decision Making ◽  
Pairwise Comparison ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Partial Ranking ◽  
Preference Functions ◽  
Multi Attribute Decision Making ◽  
Ranking Of Alternatives ◽  
The Impact ◽  
Fuzzy Promethee

The Analytical Hierarchy Process (AHP) is arguably the most popular and factual approach for computing the weights of attributes in the multi-attribute decision-making environment. The Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) is an outranking family of multi-criteria decision-making techniques for evaluating a finite set of alternatives, that relies on multiple and inconsistent criteria. One of its main advantages is the variety of admissible preference functions that can measure the differences between alternatives, in response to the type and nature of the criteria. This research article studies a version of the PROMETHEE technique that encompasses multipolar assessments of the performance of each alternative (relative to the relevant criteria). As is standard practice, first we resort to the AHP technique in order to quantify the normalized weights of the attributes by the pairwise comparison of criteria. Afterwards the m-polar fuzzy PROMETHEE approach is used to rank the alternatives on the basis of conflicting criteria. Six types of generalized criteria preference functions are used to measure the differences or deviations of every pair of alternatives. A partial ranking of alternatives arises by computing the positive and negative outranking flows of alternatives, which is known as PROMETHEE I. Furthermore, a complete ranking of alternatives is achieved by the inspection of the net flow of alternatives, and this is known as PROMETHEE II. Two comparative analysis are performed. A first study checks the impact of different types of preference functions. It considers the usual criterion preference function for all criteria. In addition, we compare the technique that we develop with existing multi-attribute decision-making methods.

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