scholarly journals Combining the crisp outputs of multiple fuzzy expert systems using the MPDI along with the AHP

2011 ◽  
Vol 57 (No. 5) ◽  
pp. 217-225
Author(s):  
S. Aly ◽  
I. Vrana
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Real World ◽  
Analytical Hierarchy Process ◽  
Problem Context ◽  
Binary Decision ◽  
The Real ◽  
Fuzzy Expert Systems ◽  
Decision Making Problem ◽  
Hierarchy Process

Business, economic, and agricultural YES-or-NO decision making problems often require multiple, different and specific expertises. This is due to the nature of such problems in which decisions may be influenced by multiple different, relevant aspects, and accordingly multiple corresponding expertises are required. Fuzzy expert systems (FESs) are widely used to model expertises due to their capability to model the real world values, which are not always exact, but frequently vague, or uncertain. In this paper, different expertises relevant to the decision solution are modelled using several corresponding FESs. These systems are then integrated to comprehensibly judge the YES-or-NO binary decision making problem, which requires all such expertises. This integration involves several independent and autonomous FESs arranged synergistically to suit a varying problem context. Then, the main focus of this paper is to realize such integration through combining the crisp numerical outputs produced by multiple FESs. The newly developed methods MPDI and WMPDI are utilized to combine the crisp outputs of multiple parallel FESs, whilst weights are determined through the analytical hierarchy process (AHP). The presented approach of utilizing the proved efficient MPDI combining criteria along with AHP will encourage practitioners to take advantage of integration and cooperation among multiple numerically outputting knowledge sources in general.

scholarly journals Multiple parallel fuzzy expert systems utilizing a hierarchical fuzz model

2008 ◽  
Vol 53 (No. 2) ◽  
pp. 89-93
Author(s):  
S. Aly ◽  
I. Vrana
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Real World ◽  
Fuzzy System ◽  
Decision Problem ◽  
Binary Decision ◽  
Decision Consistency ◽  
Fuzzy Expert Systems ◽  
Hierarchical Fuzzy System

Business, economic, and agricultural YES-or-NO decision making problems often require multiple, different and specific expertises. This is due to the nature of such problems in which decisions may be influenced by multiple different, relevant aspects, and accordingly multiple corresponding expertises are required. Fuzzy expert systems (FESs) are widely used to model expertises due to its capability to model real world values, which are not always exact, but frequently vague or uncertain. In this research, different expertises, relevant to the decision solution, are modeled using several corresponding FESs. Every FES produces a crisp numerical output expressing the degree of bias toward “Yes” or “No“ decision. A unified scale is standardized for numerical outputs of all FESs. This scale ranges from 0 to 10, where the value 0 represents a complete bias ”No“ decision and the value 10 represents a complete bias to ”Yes“ decision. Intermediate values reflect the degree of bias either to ”Yes“ or ”No“ decision. These systems are then integrated to comprehensibly judge the binary decision problem, which requires all such expertises. Practically, the main reasons for independency among the multiple FESs can be related to maintainability, decision responsibility, analyzability, knowledge cohesion and modularity, context flexibility, sensitivity of aggregate knowledge, decision consistency, etc. The proposed mechanism for realizing integration is a hierarchical fuzzy system (HFS) based model, which allows the utilization of the existing If-then knowledge about how to combine/aggregate the outputs of FESs.

scholarly journals Integrating multiple fuzzy expert systems under restricting requirements 

2012 ◽  
Vol 52 (No. 4) ◽  
pp. 187-196
Author(s):  
S. Aly ◽  
I. Vrana
Keyword(s):  
Decision Making ◽  
Expert Systems ◽  
Business Processes ◽  
New Product ◽  
Decision Problems ◽  
Food Chains ◽  
Problem Context ◽  
Multiple Factors ◽  
Decision Consistency ◽  
Fuzzy Expert Systems

The multiple, different and specific expertises are often needed in making YES-or-NO (YES/NO) decisions for treating a variety of business, economic, and agricultural decision problems. This is due to the nature of such problems in which decisions are influenced by multiple factors, and accordingly multiple corresponding expertises are required. Fuzzy expert systems (FESs) are widely used to model expertise due to its capability to model real world values which are not always exact, but frequently vague, or uncertain. In addition, they are able to incorporate qualitative factors. The problem of integrating multiple fuzzy expert systems involves several independent and autonomous fuzzy expert systems arranged synergistically to suit a varying problem context. Every expert system participates in judging the problem based on a predefined match between problem context and the required specific expertises. In this research, multiple FESs are integrated through combining their crisp numerical outputs, which reflect the degree of bias to the Yes/No subjective answers. The reasons for independency can be related to maintainability, decision responsibility, analyzability, knowledge cohesion and modularity, context flexibility, sensitivity of aggregate knowledge, decision consistency, etc. This article presents simple algorithms to integrate multiple parallel FES under specific requirements: preserving the extreme crisp output values, providing for null or non-participating expertises, and considering decision-related expert systems, which are true requirements of a currently held project. The presented results provides a theoretical framework, which can bring advantage to decision making is many disciplines, as e.g. new product launching decision, food quality tracking, monitoring of suspicious deviation of the business processes from the standard performance, tax and customs declaration issues, control and logistic of food chains/networks, etc. 

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

2006 ◽  
Vol 05 (02) ◽  
pp. 263-276 ◽  
Author(s):  
NORITA AHMAD ◽  
DANIEL BERG ◽  
GENE R. SIMONS
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Multi Criteria Decision Making ◽  
Analysis Model ◽  
Decision Tool ◽  
Manufacturing Enterprises ◽  
Decision Making Problem ◽  
Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

scholarly journals A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Project Performance ◽  
Decision Makers ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Conflicting Demands ◽  
Decision Making Problem ◽  
Scientific Approach ◽  
Hierarchy Process

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.

scholarly journals PENDETEKSIAN DINI TINGKAT KEMANAN INFORMASI BERBASIS ISO 27001 : 2013 MENGGUNAKAN METODE AHP (ANALYTICAL HIERARCHY PROCESS)

2019 ◽  
Vol 2 (2) ◽  
pp. 57-64
Author(s):  
Arini Arini
Keyword(s):  
Decision Making ◽  
Information Security ◽  
Analytical Hierarchy Process ◽  
British Standard Institution ◽  
International Electrotechnical Commission ◽  
Security Assessment ◽  
Scoring Method ◽  
Weighting Method ◽  
Hierarchy Process ◽  
Iso 27001

Information is one of the important assets for the survival of an organization / business, defense security and the integrity of the country, public trust between consumers, so that the availability, accuracy and integrity must be maintained, or commonly abbreviated as CIA (Confidentiality, Integrity & Availability). ISO 27001 is an information security standard published in October 2005 by the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC). However, until now there has been no tool for companies in Indonesia to do a pre-assessment of the level of information security. Plus the lack of socialization of the rules and the lack of ISO 270001 expert in Indonesia, these are reason why the authors conducted this research. The author begins research by collecting data, by studying literature and interviewing experts to identify problems. After that, in its implementation, this research will be directed (knowledge acquisition) and reviewed directly by an ISO 27001 expert from The British Standard Institution of the United Kingdom (BSI) so that the results are more accurate. After that, the writer determines the weighting method (decision making), scoring method, system development method, and simulation method (testing). The results of the study are in the form of pre-assessment to evaluate the information security assessment index, which will be displayed according to indicators pioneered from ISO 27001: 2013 using AHP (Analytical Hierarchy Process) decision-making methods, as well as web-based making it easier to review.

scholarly journals How to Improve Sharia Accountability for Sovereign Sukuk in Indonesia

2020 ◽  
Vol 13 (1) ◽  
pp. 53
Author(s):  
Erny Arianty
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Financial Reporting ◽  
Analytical Hierarchy Process ◽  
The Third ◽  
Contract Structure ◽  
Hierarchy Process ◽  
Level Of Importance

<pre><em>The</em><em> study entitled How to Improve Sharia Accountability for Sovereign Sukuk in Indonesia aims to analyze </em><em>the factor that has the highest level of importance</em><em> in realizing sharia accountability.</em> <em>The analysis of this research is conducted by applying</em><em>  </em><em>Analytical Hierarchy Process (AHP) approach </em><em>with a hierarchy structure consisting of the first level, namely objectives, sharia accountability for Sovereign Sukuk/Sovereign Sharia Securities (SBSN), then the second level is shariah accountability parameters, consist of structural contract (akad) SBSN, the use of SBSN funds by maqashid sharia, and SBSN accounting and financial reporting. Each criterion is determined by sub-criteria, which are the third level. The last level is the supporting factors for the realization of sharia accountability for SBSN. </em><em>The results showed that human resources competency factor had the highest importance </em><em>level in realizing the sharia accountability for the use of the contract structure (aqad) SBSN parameter, the supervisory function factor had the highest importance level for the parameters of using SBSN funds following the shariahmaqashid, and the decision making authority factor had the highest importance level for the parameters of accounting and financial reporting.  As for the results of the level of importance of the parameters, the parameter of the use of the contract structure has the highest importance level among other parameters. </em></pre>

scholarly journals Selection of the Best Lecturer in Management Forum Indonesia Chapter DKI Jakarta with Analytical Hierarchy Process (AHP) Method

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 619-625
Author(s):  
Faroman Syarief ◽  
Rustam Effendi ◽  
Amrillah Azrin ◽  
Imam Suroso ◽  
Dhian Tyas Untari
Keyword(s):  
Decision Making ◽  
Community Service ◽  
Analytical Hierarchy Process ◽  
Scientific Development ◽  
Literature Study ◽  
Management Forum ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

This study aims to be able to provide recommendations in the decision-making system related to the best lecturers at the Jakarta Chapter of the Indonesian Management Lecturer Forum. It is hoped that the research results can be used as input in the Best Lecturer decision making system with a more systematic system. This research was conducted through interviews, questionnaires and literature study related to the Lecturer profession. In the field, the assessment criteria are still rough, therefore this study must include all the criteria into the mechanism, rules, and codes. Analysis, each criterion is analyzed using the AHP (Analytical Hierarchy Process) method in weighting. The cumulative results of the recapitulation of scores show that teaching is still a top priority in the implementation of the Tridaharma of Lecturers, after that the second priority is research, then community service and finally support in the form of participation in supporting activities and scientific development.

scholarly journals Feminist Judging in the 'Real World'

2018 ◽  
Vol 8 (9) ◽  
pp. 1275-1306 ◽  
Author(s):  
Rosemary Hunter
Keyword(s):  
Decision Making ◽  
Empirical Research ◽  
Real World ◽  
Interview Data ◽  
Feminist Perspective ◽  
Decision Making Process ◽  
The Real ◽  
Judicial Practice ◽  
Tools And Techniques

The various feminist judgment projects (FJPs) have explored through the imagined rewriting of judgments a range of ways in which a feminist perspective may be applied to the practice of judging. But how do these imagined judgments compare to what actual feminist judges do? This article presents the results of the author’s empirical research to date on ‘real world’ feminist judging. Drawing on case study and interview data it explores the how, when and where of feminist judging, that is, the feminist resources, tools and techniques judges have drawn upon, the stages in the hearing and decision-making process at which these resources, tools and techniques have been deployed, and the areas of law in which they have been applied. The article goes on to consider observed and potential limits on feminist judicial practice, before drawing conclusions about the comparison between ‘real world’ feminist judging and the practices of FJPs. Los proyectos de sentencias feministas, a través de la reelaboración imaginaria de sentencias judiciales, han explorado multitud de vías en las que las perspectivas feministas se podrían aplicar a la práctica judicial. Pero ¿qué resulta de la comparación entre dichas sentencias y la práctica real de las juezas feministas? Este artículo presenta los resultados de la investigación empírica de la autora. Se analiza el cómo, el cuándo y el dónde de la labor judicial feminista, es decir, los recursos, herramientas y técnicas feministas que las juezas han utilizado, las fases de audiencia y toma de decisión en las que se han utilizado y las áreas del derecho en que se han aplicado. Además, se toman en consideración los límites observados y potenciales de la práctica judicial feminista, y se extraen conclusiones sobre la comparación entre la labor judicial feminista en el “mundo real” y la práctica de los proyectos de tribunales feministas.

scholarly journals DECISION SUPPORT SYSTEM DETERMINES THE PURCHASE OF HOUSE RIGHT USING ANALYTICAL HIERARCHY PROCESS (AHP) AND BORDA METHODS

JOURNAL ASRO ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Didit Herdiawan Ashaf ◽  
Sutikno Wahyu Hidayat ◽  
Ahmadi Ahmadi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Group Decision Making ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Group Decision ◽  
Decision Makers ◽  
Home Purchase ◽  
Hierarchy Process

Increasing population growth also contributes to the increasing need for homes or dwellings as basic human needs. Many ways people do to meet these needs, among others, by buying from someone else, building it yourself or by buying a house in a housing developer. Houses besides being a basic human need, it is also used as an indicator of one's success and as an asset for business development and an increase in the economic value of the owner. Prospective home buyers certainly have criteria that are considered in choosing a house. Many of the existing criteria are often followed by the availability of more than one choice of the house to be able to meet these criteria. Therefore, the writer tries to try to make a Decision Support System in a Home Purchase that will later help prospective home buyers in deciding which house to buy. The decision-making method used in this system is an analytical hierarchy process (AHP) as a form of decision-making model that is suitable for multi-criteria and multi-alternative problems with the main input being human perception. Combined with the Borda method which is one method of group decision making that can combine the results of perceptual analysis (the results of AHP analysis) from several decision makers. it is necessary to have a group decision-making technique (group decision support system). So that the resulting home purchase decision can be accepted by all decision makers (family). From the results of the calculation and voting process, House X was chosen with 9 votes.   Keywords: Home Purchase, Analytical Hierarchy Process, Borda

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