{"title":"Significance of the order of pair-wise comparisons in Analytic Hierarchy Process: an experimental study","authors":"Oleh Andriichuk, Sergii Kadenko, Vitaliy Tsyganok","doi":"10.1002/mcda.1830","DOIUrl":"https://doi.org/10.1002/mcda.1830","url":null,"abstract":"<p>The article describes an approach, ensuring higher credibility of expert estimation results, based on specific order of pair-wise comparisons. The order of pair-wise comparisons is, in its turn, based on the distance between estimated objects in the ranking. According to the suggested approach (and some human psychophysiological features), the most ordinally distant objects should be compared before ordinally closer ones. In order to empirically confirm this assumption, a special experiment involving real experts has been conducted. The results of the experiment indicate that if objects are presented to the expert for comparison in the suggested order, then in the majority of cases relative weights of objects, obtained using eigenvector method, most adequately reflect this expert's priorities. Moreover, pair-wise comparison matrices constructed using the suggested comparison order tend to be slightly more consistent. The suggested approach to re-ordering of pair-wise comparisons can be applied as part of the AHP algorithm in weakly structured subject domains, influenced by multiple intangible criteria. It also provides conceptual basis for reduction of the number of pair-wise comparisons, required to obtain credible results, in AHP without loss or distortion of expert data. It can also be used for modification of combinatorial pair-wise comparison aggregation method, based on spanning tree enumeration. And, finally, it will improve the overall multi-criteria decision-making process in diverse subject domains, characterized by high uncertainty levels.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 3-4","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140949312","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}
{"title":"Supported nondominated points as a representation of the nondominated set: An empirical analysis","authors":"Serpil Sayın","doi":"10.1002/mcda.1829","DOIUrl":"https://doi.org/10.1002/mcda.1829","url":null,"abstract":"<p>The nondominated set of a multiple objective discrete optimization problem is known to contain unsupported nondominated points, which outnumber the supported ones and are more difficult to obtain. We treat supported nondominated points as a representation and analyse their quality using different metrics beyond their sheer numbers. Under different data generation schemes on multiobjective knapsack and assignment problems, we observe that supported nondominated points almost always provide a good representation of the entire nondominated set.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342975","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}
{"title":"Artiruno: A free-software tool for multi-criteria decision-making with verbal decision analysis","authors":"Kodi B. Arfer","doi":"10.1002/mcda.1827","DOIUrl":"https://doi.org/10.1002/mcda.1827","url":null,"abstract":"<p>Verbal decision analysis (VDA) is a family of methods for multi-criteria decision analysis that require no numerical judgements from the agent. Although many such methods have been developed, they share the potential issue of asking the agent many more questions than necessary, particularly under multilevel approaches. Furthermore, whether VDA improves decisions, compared to no intervention, has yet to be investigated empirically. I introduce a new VDA method, Artiruno, with a freely licensed implementation in Python. Artiruno makes inferences mid-interview so as to require minimal input from the agent, while using a multilevel scheme that allows it to ask complex questions when necessary. Inferences are facilitated by an axiom allowing comparisons to be partitioned across groups of criteria. Artiruno's performance in a variety of simple and complex scenarios can be verified with automated software tests. For an empirical test, I conducted an experiment in which 107 people from an Internet subject pool considered an important decision they faced in their own lives, and were randomly assigned to use Artiruno or to receive no intervention. These subjects proved mostly able to use Artiruno, and they found it helpful, but Artiruno seemed to have little influence on their decisions or outcomes.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342974","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}
Daniel F. Manso, Gregory S. Parnell, Ed Pohl, Mischel Carmen N. Belderrain
{"title":"Gaps in strategic problem-solving methods: A systematic literature review","authors":"Daniel F. Manso, Gregory S. Parnell, Ed Pohl, Mischel Carmen N. Belderrain","doi":"10.1002/mcda.1828","DOIUrl":"https://doi.org/10.1002/mcda.1828","url":null,"abstract":"<p>Strategic problem-solving enables organizations to pursue opportunities and address emerging threats proactively. However, traditional problem-solving methods often rely on business processes and organizational procedures, which may not be available at the strategic level. This article investigates potential gaps in strategic problem-solving methods through a Systematic Literature Review. The study analyses the existing literature on the potential of current problem-solving methods to identify and resolve root causes of strategic problems when formal business processes and procedures are unavailable. A rigorous literature search process guided by focused research questions examines Problem Structuring Methods, Lean Thinking, Six Sigma, Theory of Constraints, Balanced Scorecard, SWOT Analysis, and other techniques. The synthesis of findings reveals limitations in strategic root cause analysis. In addition, the study introduces a supplementary decision-making frame of reference to aid the selection of appropriate methods across problem-solving, decision-making, and solution implementation stages. This framework addresses the common challenges decision-makers face in navigating organizational complexity and choosing suitable approaches, as well as visually maps methods to stages based on Content, Organizational, and Analytical complexity dimensions. The framework builds on the study's findings that using a single methodology may be insufficient for a complete decision process. The proposed decision-making framework also offers valuable guidance for integrating diverse methods aligned to decision situations.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140181657","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}
{"title":"A simulation approach to investigate factors influencing the cost of omitted objectives in multiattribute models","authors":"Sarah A. Kusumastuti, Richard S. John","doi":"10.1002/mcda.1826","DOIUrl":"https://doi.org/10.1002/mcda.1826","url":null,"abstract":"<p>Empirical evidence suggests that decision-makers are ill-equipped to identify all relevant objectives in a decision problem. We examine the effect of an incomplete set of objectives using a Monte Carlo simulation to compare a baseline model to a reduced model incorporating only a subset of objectives. We assess the performance of reduced models varying in the number of objectives, the number of alternatives, the correlations among objectives, and attribute weights. Results suggest that missing objectives will most impact multiattribute models with negative correlations between objectives; similarly, models with equally weighted objectives suffer more than models with unequal weights. Decision problems with more objectives tend to be less impacted by missing objectives, given the same proportion of missing objectives. In contrast, decision problems with more alternatives are more impacted for some performance measures but less on others. However, the variation in model performance due to the number of objectives and alternatives is relatively minor compared to the variation due to the nature of the correlation between objectives.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139488333","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}
{"title":"Analysis of third alternatives' impact on PROMETHEE II ranking","authors":"Boris Coquelet, Gilles Dejaegere, Yves De Smet","doi":"10.1002/mcda.1823","DOIUrl":"10.1002/mcda.1823","url":null,"abstract":"<p>So far, the rank reversal (RR) phenomenon has been heavily discussed in the multiple criteria analysis literature. In this work, instead of focusing on RR occurrences within PROMETHEE II, an analysis of the third alternative with respect to a given pair of alternatives is conducted. The aim is to provide a way to identify third alternatives able to cause RR between a specific pair. This opens the question of building alternatives causing RR occurrences. Such alternatives can then be used to assess the resistance a given ranking has to RR. In the end, two different approaches are used. The first considers the number of third alternatives to be added to generate RR for a given pair of alternatives. While, the second one, provides a new threshold for RR occurrences in PROMETHEE II.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138692499","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}
Dina Abdel-Fattah, Mats Danielson, Love Ekenberg, Regine Hock, Sarah Trainor
{"title":"Application of a structured decision-making process in cryospheric hazard planning: Case study of Bering Glacier surges on local state planning in Alaska","authors":"Dina Abdel-Fattah, Mats Danielson, Love Ekenberg, Regine Hock, Sarah Trainor","doi":"10.1002/mcda.1825","DOIUrl":"10.1002/mcda.1825","url":null,"abstract":"<p>Surging glaciers are glaciers that experience rapidly accelerated glacier flow over a comparatively short period of time. Though relatively rare worldwide, Alaska is home to the largest number of surge-type glaciers globally. However, their impact on the broader socioecological system in the state is both poorly understood and under-researched, which poses a challenge in developing appropriate sustainability decisions in Alaska. We investigated how the surge patterns of the Bering Glacier in Alaska have potentially devastating effects on the local ecological biodiversity of its watershed via a structured decision-making analysis of the different possible consequences. Specifically, this analysis was conducted to explore the various outcomes of a Bering Glacier surge particularly if humans have an increased presence near the glacier due to the area potentially becoming a state park. This work explored the benefits of applying a risk and decision analytical framework in a cryosphere context, to better understand the socioeconomic impact of glacier surges. This is a novel approach in which a decision analysis tool was used to better understand an environmental sustainability challenge, offering an innovative method to support the achievement of the United Nations Sustainability Development Goals in Alaska. We therefore emphasise the need for integrated biophysical and socioeconomic analyses when it comes to understanding glacier hazards. Our research highlights the importance of understanding and researching biophysical changes as well as using a structured decision-making process for complicated hazard planning scenarios, exemplified via glaciated regions in Alaska, in order to create adaptation strategies that are sustainable and encompass the range of possible outcomes.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mcda.1825","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138505110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mean values as nondominated multicriterial points","authors":"Vladislav V. Podinovski, Andrey P. Nelyubin","doi":"10.1002/mcda.1824","DOIUrl":"10.1002/mcda.1824","url":null,"abstract":"<p>In this paper, we introduce new notions of mean values based on ideas of multicriteria optimization. The distances between the current point to all points in the sample are regarded as elements of a vector estimate. Such vector estimates are usually scalarized, for example, by taking the sum of all components. In contrast, we introduce preference relations on the set of all such vectors, based on the information about the preferences of the decision maker who could be a statistician, analyst or researcher. Such preference relations reflect the distances between points, including the case in which all distances are equally important. We define the mean values as the points whose corresponding vector estimates are nondominated with respect to the defined preference relation, and investigate their properties. Such mean values turn out to be multi-valued. We further explore the relationship between the new notions of mean values with their conventional definitions and suggest computational approaches to the calculation of the suggested new means. We also outline generalisations of the suggested approach to the case of multidimensional data.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136347984","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}
{"title":"Multi-objective decision trees with fuzzy TOPSIS: Application to refugee resettlement planning","authors":"Buket Cilali, Claudio M. Rocco, Kash Barker","doi":"10.1002/mcda.1822","DOIUrl":"10.1002/mcda.1822","url":null,"abstract":"<p>This study combines the use of multi-objective decision trees (MODT) and a fuzzy TOPSIS approach to cope with sequential decision-making under uncertainty with multiple conflicting objectives. To this aim, the MODT generates a Pareto-optimal frontier of solutions for competing objectives, while fuzzy TOPSIS helps assess the noninferior solutions and assign weights to the objectives by considering possible uncertainties in outcomes as well as potential linguistic expression. The proposed approach is illustrated with a temporal decision problem concerning climate-driven refugee resettlement, taking into consideration the challenges of global warming and system interdependencies in an uncertain context. The fuzzy TOPSIS approach was illustrated using two different procedures, and the procedure based on vector normalisation graphically depicts the fuzzy triangular representation of the final ranking.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135820036","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}
Madhury Ray, Alana R. Tornello, Françoise Pickart, Mitch Stripling, Mustafa Ali, Luis G. Vargas
{"title":"A jurisdictional risk assessment for the whole community: A new, systematic approach to participatory decision-making in public health emergency preparedness using the analytic hierarchy process","authors":"Madhury Ray, Alana R. Tornello, Françoise Pickart, Mitch Stripling, Mustafa Ali, Luis G. Vargas","doi":"10.1002/mcda.1820","DOIUrl":"10.1002/mcda.1820","url":null,"abstract":"<p>In 2018, the New York City (NYC) Department of Health and Mental Hygiene piloted a novel jurisdictional risk assessment (JRA) for public health disasters using the analytic hierarchy process (2018 JRA-AHP). This new approach offers a replicable and equitable model for consensus decision-making that incorporates the complexities of disaster preparedness. Its main contribution to the field is to offer a practical manifestation of emergency management's Whole Community Approach. The 2018 JRA-AHP applied this principle by expanding traditional definitions of ‘expertise’ to include lived experience of disaster and facilitating direct participation in the risk decision by a variety of individuals with diverse backgrounds, expertise and knowledge of public health disasters. This paper describes the theory, methods and results behind the JRA-AHP. The paper also presents a critical analysis of public health disaster risk assessments; contextualizes the Whole Community Approach using models of the relationship between democratic governments and communities; and addresses the practical applications of the 2018 JRA-AHP in NYC while exploring the potential challenges that other jurisdictions may face in attempted adaptation.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"31 1-2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mcda.1820","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136024471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}