Pub Date : 2023-05-12DOI: 10.13033/ijahp.v15i1.1079
Amos N. Guiora, Marcel C. Minutolo, Luis G. Vargas, Margaret Vargas, H.J. Zoffer
Despite calls for community-oriented policing and the recognition that it results in improved relationships between the police and community as well as improved public security outcomes, police-community relations are arguably at an all-time low. Part of the challenge in achieving enhanced police-community relations is a disparate understanding of what each party wants and what each party can provide as well as prioritizing these factors. We present a project that worked to improve police-community relations through a conflict resolution process using the Analytic Hierarchy Process. The project was conducted with a group of police officers serving an urban, predominately African American community and representatives of the community over a period of several workshops. The workshops identified the goals, criteria, and objectives of each party as well as the perception of the other party’s goals, criteria, and objectives. The results of the meetings, the priorities generated, and similarities/divergences between them are presented.
{"title":"ENHANCING POLICE-COMMUNITY RELATIONS VIA A CONFLICT RESOLUTION APPROACH","authors":"Amos N. Guiora, Marcel C. Minutolo, Luis G. Vargas, Margaret Vargas, H.J. Zoffer","doi":"10.13033/ijahp.v15i1.1079","DOIUrl":"https://doi.org/10.13033/ijahp.v15i1.1079","url":null,"abstract":"Despite calls for community-oriented policing and the recognition that it results in improved relationships between the police and community as well as improved public security outcomes, police-community relations are arguably at an all-time low. Part of the challenge in achieving enhanced police-community relations is a disparate understanding of what each party wants and what each party can provide as well as prioritizing these factors. We present a project that worked to improve police-community relations through a conflict resolution process using the Analytic Hierarchy Process. The project was conducted with a group of police officers serving an urban, predominately African American community and representatives of the community over a period of several workshops. The workshops identified the goals, criteria, and objectives of each party as well as the perception of the other party’s goals, criteria, and objectives. The results of the meetings, the priorities generated, and similarities/divergences between them are presented.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135389184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-12DOI: 10.13033/ijahp.v15i1.978
Bijan Nahavandi, M. Homayounfar, A. Daneshvar
Measuring knowledge management (KM) effectiveness is a very important issue in organizations today. This study aims to develop a method to evaluate the effectiveness of KM under uncertainty in research centers (RCs) in Iran. To develop an evaluation, the relevant literature was reviewed to identify KM effectiveness criteria. Next, the judgments of the experts, specialists, scholars, and professionals in IT and KM systems and senior managers of Iran’s RCs were determined using a pairwise comparison questionnaire. Because linguistic terms are an integral part of human judgments that will influence the results of the research, a fuzzy Analytic Hierarchy Process (AHP) called the Extent Analysis (EA) method was used for data analysis and weight determination. Accordingly, 34 subcriteria extracted from the literature that are important in the evaluation of KM effectiveness were categorized into six main criteria as follows: human resources, leadership and center structure, knowledge creation and acquisition, knowledge storage and security, knowledge sharing, and knowledge utilization and updating. The findings indicate that human resources is the most important criterion based on both the AHP and fuzzy AHP methods. The other five criteria in descending order of importance are knowledge sharing, leadership and center structure, knowledge utilization and updating, knowledge creation and acquisition and knowledge storage and security. Finally, to test the validity and reliability of the proposed framework, we evaluated the effectiveness of KM system in nine of Iran’s RCs.
{"title":"A FUZZY ANALYTICAL HIERARCHY PROCESS FOR EVALUATION OF KNOWLEDGE MANAGEMENT EFFECTIVENESS IN RESEARCH CENTERS","authors":"Bijan Nahavandi, M. Homayounfar, A. Daneshvar","doi":"10.13033/ijahp.v15i1.978","DOIUrl":"https://doi.org/10.13033/ijahp.v15i1.978","url":null,"abstract":"Measuring knowledge management (KM) effectiveness is a very important issue in organizations today. This study aims to develop a method to evaluate the effectiveness of KM under uncertainty in research centers (RCs) in Iran. To develop an evaluation, the relevant literature was reviewed to identify KM effectiveness criteria. Next, the judgments of the experts, specialists, scholars, and professionals in IT and KM systems and senior managers of Iran’s RCs were determined using a pairwise comparison questionnaire. Because linguistic terms are an integral part of human judgments that will influence the results of the research, a fuzzy Analytic Hierarchy Process (AHP) called the Extent Analysis (EA) method was used for data analysis and weight determination. Accordingly, 34 subcriteria extracted from the literature that are important in the evaluation of KM effectiveness were categorized into six main criteria as follows: human resources, leadership and center structure, knowledge creation and acquisition, knowledge storage and security, knowledge sharing, and knowledge utilization and updating. The findings indicate that human resources is the most important criterion based on both the AHP and fuzzy AHP methods. The other five criteria in descending order of importance are knowledge sharing, leadership and center structure, knowledge utilization and updating, knowledge creation and acquisition and knowledge storage and security. Finally, to test the validity and reliability of the proposed framework, we evaluated the effectiveness of KM system in nine of Iran’s RCs.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45121397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-11DOI: 10.13033/ijahp.v15i1.1067
C. Poveda
The concept of human capital continues to evolve and it has gained momentum in the process. Besides its impact on the economic growth of business and entire societies, human capital has emerged as a critical area of performance in achieving the goals and objectives of sustainable development. Following a brief historical background and a description of its evolution, the role of human capital in meeting the goals and objectives of sustainability is examined. A simulated case using a multi-criteria decision-making (MCDM) method known as the Analytic Hierarchy Process (AHP) further explores the importance or relevance of human capital in financial institutions. Research demonstrates the evolution of human capital as well as its increasing coordinating and supporting role in achieving social progress, economic growth, and environmental protection. To better manage and assess the role of human capital, we present a set of resources for the identification and selection of criteria and indicators as well as structure and scientific-based options that allow the effective engagement and participation of stakeholders to assess the relative and absolute importance or relevance of human capital within the concept of sustainable development. While challenges remain to fully understand the role of human capital in the sustainability environment, research outcomes demonstrate the progress already made.
{"title":"USING MULTI-CRITERIA DECISION-MAKING TO ASSESS THE IMPORTANCE OF HUMAN CAPITAL IN MEETING THE GOALS AND OBJECTIVES OF SUSTAINABLE DEVELOPMENT: AN APPLICATION OF THE ANALYTIC HIERARCHY PROCESS","authors":"C. Poveda","doi":"10.13033/ijahp.v15i1.1067","DOIUrl":"https://doi.org/10.13033/ijahp.v15i1.1067","url":null,"abstract":"The concept of human capital continues to evolve and it has gained momentum in the process. Besides its impact on the economic growth of business and entire societies, human capital has emerged as a critical area of performance in achieving the goals and objectives of sustainable development. Following a brief historical background and a description of its evolution, the role of human capital in meeting the goals and objectives of sustainability is examined. A simulated case using a multi-criteria decision-making (MCDM) method known as the Analytic Hierarchy Process (AHP) further explores the importance or relevance of human capital in financial institutions. Research demonstrates the evolution of human capital as well as its increasing coordinating and supporting role in achieving social progress, economic growth, and environmental protection. To better manage and assess the role of human capital, we present a set of resources for the identification and selection of criteria and indicators as well as structure and scientific-based options that allow the effective engagement and participation of stakeholders to assess the relative and absolute importance or relevance of human capital within the concept of sustainable development. While challenges remain to fully understand the role of human capital in the sustainability environment, research outcomes demonstrate the progress already made.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41418670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-09DOI: 10.13033/ijahp.v15i1.1040
Mohamed Akhrouf, Mahfoud Derghoum
This article aims to develop a methodology in which alternative projects are prioritized and selected using appropriate methods of multi-criteria decision-making in organizations responsible for managing and developing health infrastructure. This study addresses a particular gap in implementing a systematic methodology for prioritizing and selecting projects in the health sector. The methodology developed proposes an approach based on the AHP multi-criteria decision support method for decision-makers and stakeholders to prioritize and select projects in the health sector. The problem was modeled using the Expert Choice software which allows a good “integration of the decision-maker” in the decision-making process making it possible to intervene in the research and decisions to identify the most efficient and potentially profitable health projects that are useful to the community.
{"title":"USE OF A MULTI-CRITERIA DECISION SUPPORT MODEL BASED ON THE AHP METHOD FOR THE SELECTION OF HEALTH INFRASTRUCTURE PROJECTS","authors":"Mohamed Akhrouf, Mahfoud Derghoum","doi":"10.13033/ijahp.v15i1.1040","DOIUrl":"https://doi.org/10.13033/ijahp.v15i1.1040","url":null,"abstract":"This article aims to develop a methodology in which alternative projects are prioritized and selected using appropriate methods of multi-criteria decision-making in organizations responsible for managing and developing health infrastructure. This study addresses a particular gap in implementing a systematic methodology for prioritizing and selecting projects in the health sector. The methodology developed proposes an approach based on the AHP multi-criteria decision support method for decision-makers and stakeholders to prioritize and select projects in the health sector. The problem was modeled using the Expert Choice software which allows a good “integration of the decision-maker” in the decision-making process making it possible to intervene in the research and decisions to identify the most efficient and potentially profitable health projects that are useful to the community.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42485254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.13033/ijahp.v15i1.1003
Maryam Bagheri, Fard Sharabiani, M. Gholamian
The pairwise comparison matrix (PCM) is a crucial element of the Analytic Hierarchy Process (AHP). In many cases, the PCM is incomplete and this complicates the decision-making process. Hence, the present study offers a novel approach for dealing with incomplete information in group decision-making. We present a new model of incomplete AHP using goal programming (GP) and the similarity function. The minimization of this similarity function reduces errors in decision-making. The proposed model will be able to estimate the unknown elements in the pairwise comparison matrix and calculate the weight vectors obtained from the matrices. Several examples are implemented to elaborate on the estimation of unknown elements and weight vectors in the proposed model. The results show that the unknown elements have an acceptable value with an appropriate consistency rate.
{"title":"A NEW SOLUTION FOR INCOMPLETE AHP MODEL USING GOAL PROGRAMMING AND SIMILARITY FUNCTION","authors":"Maryam Bagheri, Fard Sharabiani, M. Gholamian","doi":"10.13033/ijahp.v15i1.1003","DOIUrl":"https://doi.org/10.13033/ijahp.v15i1.1003","url":null,"abstract":"The pairwise comparison matrix (PCM) is a crucial element of the Analytic Hierarchy Process (AHP). In many cases, the PCM is incomplete and this complicates the decision-making process. Hence, the present study offers a novel approach for dealing with incomplete information in group decision-making. We present a new model of incomplete AHP using goal programming (GP) and the similarity function. The minimization of this similarity function reduces errors in decision-making. The proposed model will be able to estimate the unknown elements in the pairwise comparison matrix and calculate the weight vectors obtained from the matrices. Several examples are implemented to elaborate on the estimation of unknown elements and weight vectors in the proposed model. The results show that the unknown elements have an acceptable value with an appropriate consistency rate.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44327429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-16DOI: 10.13033/ijahp.v14i3.1080
Enrique Mu
In their excellent recounting of the development of multiple criteria decision making (MCDM) from its early history to the 21st century, Koksalan et al. (2011) proposed that MCDM is both old and new. It is old because decision makers have always had to make tradeoffs with objectives when making decisions; the authors refer to Benjamin Franklin’s approach to making decisions by trading off benefits and costs during the 1700’s. However, MCDM as an important sub-field of Management Science or Operations research is rather new and began in the late 1950s. The elements of decision making fundamentally consist of the “decision”, a “decision-maker” and a “decision analysis methodology.” This is the reason that the MCDM field is inherently interdisciplinary.
{"title":"Multicriteria Decision Making as Interdisciplinary Research","authors":"Enrique Mu","doi":"10.13033/ijahp.v14i3.1080","DOIUrl":"https://doi.org/10.13033/ijahp.v14i3.1080","url":null,"abstract":"In their excellent recounting of the development of multiple criteria decision making (MCDM) from its early history to the 21st century, Koksalan et al. (2011) proposed that MCDM is both old and new. It is old because decision makers have always had to make tradeoffs with objectives when making decisions; the authors refer to Benjamin Franklin’s approach to making decisions by trading off benefits and costs during the 1700’s. However, MCDM as an important sub-field of Management Science or Operations research is rather new and began in the late 1950s. The elements of decision making fundamentally consist of the “decision”, a “decision-maker” and a “decision analysis methodology.” This is the reason that the MCDM field is inherently interdisciplinary.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43676883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The demand for talented labor to serve the maritime logistics, particularly in port operations, is growing as the industry expands globally. This requires professional competency in terms of manpower and skills that must be developed effectively. Furthermore, considering the harm done to the industry from the COVID-19 pandemic, capable professionals in port management are a crucial part to reviving the business and its long-term growth and viability. This study explores the criteria for the needed talent from the perspective of port logistics experts using the following multicriteria decision making (MCDM) approaches: Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization System Method for Enrichment Evaluation (PROMETHEE). The objective of this study is to identify the important criteria for personnel performance evaluation in the port marine logistics industry. In order to determine the performance evaluation framework for personnel performance evaluation, the study uses the AHP method to calculate the weightage of the criteria. The highest weightage is Work Attitude (0.560), followed by Job Performance (0.298) and Work Ability (0.120). Lastly, in order to identify the suitable hybrid MCDM approaches for personnel performance evaluation in the port marine logistics industry, three different MCDM approaches (AHP, TOPSIS and PROMETHEE) were used and the results show that the AHP is the best MCDM method to rank the personnel in the port industry by obtaining the highest Kendall’s Tau coefficient of 0.619.
{"title":"COMPARATIVE ANALYSIS ON DECISION CRITERIA FOR PORT PERSONNEL USING HYBRID ANALYTICAL HIERARCHY PROCESS (H-AHP)","authors":"Muhamad Safuan, Shamshol Bahri, S.Sarifah, Radiah Shariff, Nazry Yahya","doi":"10.13033/ijahp.v14i3.974","DOIUrl":"https://doi.org/10.13033/ijahp.v14i3.974","url":null,"abstract":"The demand for talented labor to serve the maritime logistics, particularly in port operations, is growing as the industry expands globally. This requires professional competency in terms of manpower and skills that must be developed effectively. Furthermore, considering the harm done to the industry from the COVID-19 pandemic, capable professionals in port management are a crucial part to reviving the business and its long-term growth and viability. This study explores the criteria for the needed talent from the perspective of port logistics experts using the following multicriteria decision making (MCDM) approaches: Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization System Method for Enrichment Evaluation (PROMETHEE). The objective of this study is to identify the important criteria for personnel performance evaluation in the port marine logistics industry. In order to determine the performance evaluation framework for personnel performance evaluation, the study uses the AHP method to calculate the weightage of the criteria. The highest weightage is Work Attitude (0.560), followed by Job Performance (0.298) and Work Ability (0.120). Lastly, in order to identify the suitable hybrid MCDM approaches for personnel performance evaluation in the port marine logistics industry, three different MCDM approaches (AHP, TOPSIS and PROMETHEE) were used and the results show that the AHP is the best MCDM method to rank the personnel in the port industry by obtaining the highest Kendall’s Tau coefficient of 0.619.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49027287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-06DOI: 10.13033/ijahp.v14i3.1073
Birsen Karpak
There are three upcoming conferences that would be beneficial for the AHP/ANP community. The first conference is “The 23rd Conference of the International Federation of Operational Research Societies”, IFORS2023 STGO to be held in Santiago, Chile, July 10-14, 2023. Second, the INFORMS Annual Conference will be held in Phoenix, Arizona, USA, October 15-18, 2023. Phoenix is a popular location with INFORMS members. We are expecting some AHP/ANP and extensions scholars to participate in this conference. I am planning to invite our AHP/ANP colleagues from all over the world. In the scientific program, there is a cluster for Multiple Criteria Decision Analysis, in which there will be at least one AHP/ANP invited session: AHP/ANP and extensions (Organized by Birsen Karpak, Ilker Topcu) Last, but not least, is the MCDM 2024 conference. The Tunisian Decision Aid Society is organizing this international conference on Multiple Criteria Decision Making which will be held in Hammamet, Tunisia, June 2-7, 2024.
{"title":"Upcoming Conferences of Interest to the AHP/ANP Community","authors":"Birsen Karpak","doi":"10.13033/ijahp.v14i3.1073","DOIUrl":"https://doi.org/10.13033/ijahp.v14i3.1073","url":null,"abstract":"There are three upcoming conferences that would be beneficial for the AHP/ANP community. \u0000The first conference is “The 23rd Conference of the International Federation of Operational Research Societies”, IFORS2023 STGO to be held in Santiago, Chile, July 10-14, 2023.\u0000Second, the INFORMS Annual Conference will be held in Phoenix, Arizona, USA, October 15-18, 2023. Phoenix is a popular location with INFORMS members. We are expecting some AHP/ANP and extensions scholars to participate in this conference. I am planning to invite our AHP/ANP colleagues from all over the world.\u0000In the scientific program, there is a cluster for Multiple Criteria Decision Analysis, in which there will be at least one AHP/ANP invited session: AHP/ANP and extensions (Organized by Birsen Karpak, Ilker Topcu)\u0000Last, but not least, is the MCDM 2024 conference. The Tunisian Decision Aid Society is organizing this international conference on Multiple Criteria Decision Making which will be held in Hammamet, Tunisia, June 2-7, 2024.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48840174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-06DOI: 10.13033/ijahp.v14i3.970
Esma Canhasi-Kasemi, Luan Vardari
The Analytical Hierarchy Process (AHP) is a method with elegant mathematical features that is widely used in multi-criteria decision making. One of the main applications of this method, which is frequently preferred by decision makers due to its systematic and understandable structure, includes addressing inadequacies in terms of numerical scales that are generally used in pairwise comparisons. Therefore, this study includes two different judgment scales, Saaty’s fundamental scale and the Balanced scale, which were used in the pairwise comparison stage. After the comparisons were made, the variance related to the consistency ratios and the range of the sensitivity was also observed. In the study, we discuss the use of both judgment scales in a real problem and their effects on priority estimation in the AHP. The study's goal is to evaluate the outcomes of Saaty’s fundamental scale and the Balanced scale in the AHP technique for the two current operators in Kosovo's GSM sector, VALA and IPKO, and assess the preference of students in Kosovo. The required data were obtained through a questionnaire and the importance weights of the decision criteria were calculated separately for each scale and compared. The preference order of the GSM operators was discovered according to each decision criterion and all criteria. The ranking of the weights obtained with both scales resulted in IPKO first, followed by VALA. The Balanced scale made the results lighter in the weight distribution. Another important result is that the pairwise comparisons made with the Balanced scale yielded results that are more sensitive. In addition, the closeness of the priority vectors obtained with both scales according to Saaty’s compatibility index and Garuti’s compatibility index was examined.
{"title":"COMPARISON OF TWO DIFFERENT JUDGMENT SCALES WITH THE AHP GSM OPERATOR PREFERENCE OF UNIVERSITY STUDENTS","authors":"Esma Canhasi-Kasemi, Luan Vardari","doi":"10.13033/ijahp.v14i3.970","DOIUrl":"https://doi.org/10.13033/ijahp.v14i3.970","url":null,"abstract":"The Analytical Hierarchy Process (AHP) is a method with elegant mathematical features that is widely used in multi-criteria decision making. One of the main applications of this method, which is frequently preferred by decision makers due to its systematic and understandable structure, includes addressing inadequacies in terms of numerical scales that are generally used in pairwise comparisons. Therefore, this study includes two different judgment scales, Saaty’s fundamental scale and the Balanced scale, which were used in the pairwise comparison stage. After the comparisons were made, the variance related to the consistency ratios and the range of the sensitivity was also observed. In the study, we discuss the use of both judgment scales in a real problem and their effects on priority estimation in the AHP. The study's goal is to evaluate the outcomes of Saaty’s fundamental scale and the Balanced scale in the AHP technique for the two current operators in Kosovo's GSM sector, VALA and IPKO, and assess the preference of students in Kosovo. The required data were obtained through a questionnaire and the importance weights of the decision criteria were calculated separately for each scale and compared. The preference order of the GSM operators was discovered according to each decision criterion and all criteria. The ranking of the weights obtained with both scales resulted in IPKO first, followed by VALA. The Balanced scale made the results lighter in the weight distribution. Another important result is that the pairwise comparisons made with the Balanced scale yielded results that are more sensitive. In addition, the closeness of the priority vectors obtained with both scales according to Saaty’s compatibility index and Garuti’s compatibility index was examined.","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47181050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-03DOI: 10.13033/ijahp.v14i3.1068
Birsen Karpak
There were five finalists for the 2022 MCDM Junior Researcher Best Paper Award of the MCDM section of INFORMS. Finalists were Sune Lauth Gadegaard, Aarhus University, Denmark; Eleftherios Siskos, Paul Scherrer Institut Switzerland; Merve Bodur, University of Toronto, Canada; and Mohammad Ghaderi, Pompeu Fabra University, Spain (the winner). Jiapeng Liu, Xi’an Jiaotong University, China could not attend the meeting. Roman Słowiński was the 2022 Jury Chair, Poznań University of Technology All 5 finalists received a diploma at the business meeting of the MCDM Section of INFORMS on October 16, 2022. The winner selected by the Jury was Mohammad Ghaderi. This was a great success for the MCDM/A community to receive ten nominations and to have five finalists for this award!
{"title":"2022 MCDM Junior Researcher Best Paper Award","authors":"Birsen Karpak","doi":"10.13033/ijahp.v14i3.1068","DOIUrl":"https://doi.org/10.13033/ijahp.v14i3.1068","url":null,"abstract":"There were five finalists for the 2022 MCDM Junior Researcher Best Paper Award of the MCDM section of INFORMS. Finalists were Sune Lauth Gadegaard, Aarhus University, Denmark; Eleftherios Siskos, Paul Scherrer Institut Switzerland; Merve Bodur, University of Toronto, Canada; and Mohammad Ghaderi, Pompeu Fabra University, Spain (the winner). Jiapeng Liu, Xi’an Jiaotong University, China could not attend the meeting. Roman Słowiński was the 2022 Jury Chair, Poznań University of Technology\u0000All 5 finalists received a diploma at the business meeting of the MCDM Section of INFORMS on October 16, 2022. The winner selected by the Jury was Mohammad Ghaderi. This was a great success for the MCDM/A community to receive ten nominations and to have five finalists for this award!","PeriodicalId":37297,"journal":{"name":"International Journal of the Analytic Hierarchy Process","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44816419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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