{"title":"ARASsort: A new sorting based multiple attribute decision-making algorithm","authors":"Sait Gül","doi":"10.1002/mcda.1801","DOIUrl":"10.1002/mcda.1801","url":null,"abstract":"<p>Multiple attribute decision-making (MADM) tools can effectively support the decision analysts in selecting the best alternative among many, ranking the alternatives in decreasing or increasing order of preference, or allocating the alternatives into pre-defined ordered classes/categories. Even though the literature provides the analyst with precious sorting-based MADM tools such as PROMSORT, UTADIS, AHPSort, TOPSISsort, and so forth, the majority of the methods can be found complex and hard to be understood by the researchers and practitioners who are not familiar with the mathematical notions and computations of MADM (distance calculation, threshold and preference function determination, and so on). To provide a simpler but powerful MADM tool aiming at sorting the alternatives into classes, this study proposes a sorting-based additive ratio assessment algorithm which is called ARASsort. For limiting (interval-based) and central (reference-based) profiles describing the categories, we have developed two algorithms: ARASsort-lp and ARASsort-cp, respectively. Their applicability was shown in two examples: green supplier evaluation and economic freedom evaluation of countries. The validity of algorithms was presented by demonstrating the class assignment similarities between the results obtained by ARASsort, VIKORsort, and TOPSISsort. The findings show that ARASsort works well because it shows a higher level of class assignment similarities with the other methods.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 3-4","pages":"93-108"},"PeriodicalIF":2.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45228101","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":"Optimization of frying process for maintaining nutritional quality to satisfy consumers' sensory attributes: A novel application of multi-criteria decision-making approach","authors":"Tithli Sadhu, Sandip Kumar Lahiri, Jagannath Roy, Ashish Bhattacharjee, Jitamanyu Chakrabarty","doi":"10.1002/mcda.1799","DOIUrl":"10.1002/mcda.1799","url":null,"abstract":"<p>The objective of the study was to assess the optimum frying condition of fish considering the multiple perspectives (retention of nutritional quality indices [NQI], reduction of preparation time, and improvement of health benefit) to satisfy consumer-preferred sensory attributes by controlling the most impactful process variables (temperature, time, and oil amount). The multi-criteria decision-making (MCDM) approach is appropriate to handle the numerous conflicting criteria and numerous multiple objectives. First, an artificial neural network (ANN) model was developed to build a non-linear correlation between the cooking process parameters and NQI by an automatic exhaustive search of all available algorithms and activation functions. All the NQI are conflicting in nature. Therefore, the ANN-based multi-objective genetic algorithm was implemented to obtain the Pareto optimal solutions to improve all NQI simultaneously. Five optimised conditions were selected amongst the Pareto optimal solutions, satisfying the above-mentioned multiple criteria. Finally, a well-known MCDM approach, the analytical hierarchy process (AHP), was applied for sensory analysis to evaluate the overall acceptance of the optimised conditions based on the relative importance of consumers' general sensory modalities (flavour, colour & appearance, and taste). Furthermore, the following condition (140.01°C, 7.62 min, 47.87 ml oil/kg of fish) was selected as the most accepted in terms of all quality attributes that may be implemented as the standard condition in domestic and industrial purposes.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 1-2","pages":"44-61"},"PeriodicalIF":2.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46857598","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}
Meir Harel, Erella Eisenstadt-Matalon, Amiram Moshaiov
{"title":"Solving zero-sum multi-objective games with a-priori secondary criteria","authors":"Meir Harel, Erella Eisenstadt-Matalon, Amiram Moshaiov","doi":"10.1002/mcda.1797","DOIUrl":"10.1002/mcda.1797","url":null,"abstract":"<p>Solving non-cooperative zero-sum multi-objective Games (zsMOGs), under undecided objective preferences results, for each of the players, in a Set of Rationalizable Strategies (SRS) to choose from. First, this paper deals with finding for each of the players a preferred subset of such rationalizable strategies based on a-priori incorporation of partial preferences of the decision-makers using secondary criteria. The obtained subset is termed the Set of Preferred Strategies (SPS). Here, a novel archive-based co-evolutionary algorithm is suggested to search for the SPS for each of the players. An academic example is suggested to demonstrate and validate the algorithm. It concerns a zsMOG that involves two adversarial planar manipulators. Based on a theorem that is proven here, a theoretic reference SRS is found for each of the players. This reference SRS is applied to find a reference SPS, which is used for validating the algorithm. Next, a comparison study is performed between the proposed archive-based co-evolutionary algorithm and an elite-based version of this algorithm. The results clearly show that the archive-based algorithm is superior to the elite-based version, yielding results that correspond well to the theoretic sets.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 1-2","pages":"3-23"},"PeriodicalIF":2.0,"publicationDate":"2022-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mcda.1797","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41838791","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":"Identifying and prioritising process portfolio for sustaining an effective business process management lifecycle","authors":"Güzin Özdağoğlu, Aşkın Özdağoğlu, Muhammet Damar","doi":"10.1002/mcda.1798","DOIUrl":"10.1002/mcda.1798","url":null,"abstract":"<p>This study aims to develop a pipeline for identifying and prioritising the processes to include in business process management (BPM) initiatives by considering the obstacles for giving equal importance to the processes performed in businesses. The paper proposes the use of a process classification framework as a reference for process identification and fuzzy multi-criteria decision-making methods for prioritising the processes. A real-life application is presented, which adopts APQC Process Identification Framework, Fuzzy-SWARA for weighting the criteria, and six additional methods for prioritising the processes. The approach would assist the executives in maintaining the BPM lifecycle by presenting a roadmap, especially for organisations that do not have much experience in this field. Methodological depth, richness and recency would provide guidelines for investigating the best set of processes to include in the architecture initially, not in the analysis or redesign phases.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"30 1-2","pages":"24-43"},"PeriodicalIF":2.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44078099","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":"Eigenvalue-UTilité Additive approach for evaluating multi-criteria decision-making problem","authors":"Nahid Rezaeinia","doi":"10.1002/mcda.1796","DOIUrl":"10.1002/mcda.1796","url":null,"abstract":"<p>Forest road building is experiencing a period of expansion. It is linked to better resource extraction and transportation and higher ease of access for inhabitants. This paper discusses the problem of evaluating a forest road network in the Hyrcanian forest in northern Iran. This includes the requirements that forest managers must consider, such as economic and environmental criteria. In addition, opportunities and risks of forest road building are also considered. A multi-methodology decision-making approach is proposed to solve the problem. In light of the results, the proposed approach is reliable and flexible for use in similar cases. Using the proposed approach can structure and facilitate the decision-making process for the managers.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 5-6","pages":"431-445"},"PeriodicalIF":2.0,"publicationDate":"2022-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mcda.1796","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41480659","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}
Josemir Araújo Neves, Adriano Henrique do Nascimento Rangel, Manoel Pereira Neto, Marta Maria Souza Matos, Rita de Cássia de Andrade Silva, Luciano Patto Novaes, Stela Antas Urbano, Hideljundes Macedo Paulino
{"title":"Using the Analytic Hierarchy Process method to develop two efficiency indicators for the Food Acquisition Program – Milk modality","authors":"Josemir Araújo Neves, Adriano Henrique do Nascimento Rangel, Manoel Pereira Neto, Marta Maria Souza Matos, Rita de Cássia de Andrade Silva, Luciano Patto Novaes, Stela Antas Urbano, Hideljundes Macedo Paulino","doi":"10.1002/mcda.1795","DOIUrl":"10.1002/mcda.1795","url":null,"abstract":"<p>This work describes the process of building two indicators in order to measure the efficiency of the Food Acquisition Program – Milk modality (<i>PAA-</i>Milk) in the States which implement it. The Analytic Hierarchy Process (AHP) methodology was used to develop the first indicator, while the Principal Component Analysis was used as a tool for cutting and simplifying the structure of the first indicator to obtain the second indicator. The results demonstrate the great potential of the AHP tool together with the statistical tools to develop indicators to diagnose and monitor public policies in Brazil. The states of Alagoas, Paraíba, and Ceará presented the best efficiency in the performance of the Program, while Bahia and Pernambuco presented the worst results.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 5-6","pages":"416-430"},"PeriodicalIF":2.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mcda.1795","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47587976","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":"Consistency re-evaluation in analytic hierarchy process based on simulated consistent matrices","authors":"Amarnath Bose","doi":"10.1002/mcda.1784","DOIUrl":"10.1002/mcda.1784","url":null,"abstract":"<p>A new approach to re-evaluating consistency in the analytic hierarchy process (AHP) using simulated consistent matrices is presented. The proposed consistency evaluation method makes use of statistically significant deviations from the average consistency measure for the simulated matrices. This addresses most of the deficiencies of the conventional consistency ratio (CR) method. A pairwise comparison matrix (PCM) is adjudged inconsistent by the proposed method if its consistency measure exceeds the modeled consistency threshold. Comparison of the consistency evaluation for simulated nearly-consistent matrices using the proposed method shows a statistically significant reduction of the order-specific bias in comparison with the CR method. The proportion of nearly consistent matrices which are evaluated as ‘inconsistent’ increases more than three-folds when the evaluation is done using the CR method. Several examples are presented which illustrate the advantages of the proposed method and differences in classification with the CR approach. Evaluation of consistency using the proposed method of statistically derived thresholds from simulated, nearly consistent matrices is more nuanced and objective, as well as intuitive in its interpretability.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 5-6","pages":"393-401"},"PeriodicalIF":2.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49137007","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}
Damien Jourdain, Juliette Lairez, François Affholder
{"title":"Identify Lao farmers' goals and their ranking using best–worst scaling experiment and scale-adjusted latent class models","authors":"Damien Jourdain, Juliette Lairez, François Affholder","doi":"10.1002/mcda.1785","DOIUrl":"10.1002/mcda.1785","url":null,"abstract":"<p>In order to better design more sustainable farming systems, and prepare for the development of multi-criteria farm decision model, we investigate how farmers rank their main goals when making decisions. First, we identified the main goals used by farmers through in-depth interviews with randomly selected farmers in which we used small games to elicit the main goals they are using to make farm-level decisions. Then, we developed a best–worst scaling (BWS) experiment, in which farmers have to declare the “most” and the least “important” goals they use when making decisions. The experiment was conducted with 120 farmers. We first derive a ranking of the goals according to the population average, which showed the importance of rice self-sufficiency and transmission of farm capital. We then use a scale-adjusted latent class analysis. We identified four groups of homogenous preferences among farmers. The use of differentiated scale, a measure of choice inconsistencies, suggested different levels of certainty about the ranking, and the presence of more inconsistencies when asking the least important goal. While a large group focuses only on rice self-sufficiency, and farm transmission, we also identified a group of optimizers, and risk-averse farmers. Farmers of each group are likely to behave differently with regard to sustainable innovations. We also showed that some socio-economic variables describing the farms and the households influenced the probabilities for farmers to belong to one of the four classes. Overall, we showed that BWS scaling experiments provide a rich set of information about the diversity of rankings. It also provides the set of tools to evaluate the consistency and quality of respondents' choices.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 5-6","pages":"402-415"},"PeriodicalIF":2.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42095630","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":"Multiple criteria decision making in health and medicine","authors":"Davide La Torre","doi":"10.1002/mcda.1783","DOIUrl":"10.1002/mcda.1783","url":null,"abstract":"","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 1-2","pages":"3-4"},"PeriodicalIF":2.0,"publicationDate":"2022-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49497902","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}
Ileana Grave, Luis A. Bojórquez-Tapia, Alejandra Estrada-Barón, Donald R. Nelson, Hallie Eakin
{"title":"Analytic hierarchy process and sensitivity analysis implementation for social vulnerability assessment: A case study from Brazil","authors":"Ileana Grave, Luis A. Bojórquez-Tapia, Alejandra Estrada-Barón, Donald R. Nelson, Hallie Eakin","doi":"10.1002/mcda.1782","DOIUrl":"10.1002/mcda.1782","url":null,"abstract":"<p>One major challenge of social impact assessment concerns the implementation of multicriteria decision analysis (MCDA) to ascertain the vulnerability of households to environmental change. While MCDA has been widely used to combine vulnerability indicators into an aggregated vulnerability score, the sensitivity of vulnerability indices to uncertain appraisals and judgements of the magnitudes and weights of indicators has been largely ignored so far. In this work, based on vulnerability indicators previously selected and ranked using the analytic hierarchy process (AHP) technique, for household Brazil surveys carried out in 1998 and 2012, a sensitivity analysis (SA) was implemented to account for the variation of vulnerability indicators over time and space. In particular, two techniques were applied: the indicator removal and the threshold value tests. The indicator removal test involved setting to zero a particular indicator weight and rescaling the remaining indicator weights linearly. The threshold value test aimed to identify which indicators had the most relative influence on both indices. Finally, the critical threshold value showed the most important vulnerability indicators and allowed to summarise and contrast the standardized scores differences of the indicators between the two surveys. The results showed which indicators were the most important in increasing or decreasing the vulnerability and improved the understanding of how the overall vulnerability of rainfed farming households changed through time as a function of changes in sensitivity and adaptive capacity.</p>","PeriodicalId":45876,"journal":{"name":"Journal of Multi-Criteria Decision Analysis","volume":"29 5-6","pages":"381-392"},"PeriodicalIF":2.0,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49066500","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}