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Journal articles on the topic 'Decision making ; Problem solving'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Simon, Herbert A., George B. Dantzig, Robin Hogarth, Charles R. Plott, Howard Raiffa, Thomas C. Schelling, Kenneth A. Shepsle, Richard Thaler, Amos Tversky, and Sidney Winter. "Decision Making and Problem Solving." Interfaces 17, no. 5 (October 1987): 11–31. http://dx.doi.org/10.1287/inte.17.5.11.

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Gardashova, Latafat Abbas. "RDM Based Approach To Solving Decision Making Problem Under Uncertain Environment." International Journal of Innovative Research in Computer Science & Technology 5, no. 2 (March 31, 2017): 247–52. http://dx.doi.org/10.21276/ijircst.2017.5.2.7.

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Abdillah, Abdillah, Toto Nusantara, Subanj Subanj, Hery Susanto, and Abadyo Abadyo. "The Students Decision Making in Solving Discount Problem." International Education Studies 9, no. 7 (June 28, 2016): 57. http://dx.doi.org/10.5539/ies.v9n7p57.

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<p class="apa">This research is reviewing students’ process of decision making intuitively, analytically, and interactively. The research done by using discount problem which specially created to explore student’s intuition, analytically, and interactively. In solving discount problems, researcher exploring student’s decision in determining their attitude which concern in the used of intuitively, analytically, and interactively. Result of this research showing that the student’s decision making in solving discount problem begin with their intuitively, then interactively and continued with analytically; afterward return to intuition, interaction and end up with analytical. Those three components (intuitively, interactively and analytically) repeated occur until obtaining result which is desire.</p>

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4

Scott, John. "Visual representations in problem solving and decision-making." International Journal of Management and Decision Making 9, no. 3 (2008): 266. http://dx.doi.org/10.1504/ijmdm.2008.017409.

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Frauenknecht, Marianne, and David R. Black. "Is it Social Problem Solving or Decision Making?" American Journal of Health Education 41, no. 2 (March 2010): 112–23. http://dx.doi.org/10.1080/19325037.2010.10599135.

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Čančer, Vesna, and Matjaž Mulej. "Multi‐criteria decision making in creative problem solving." Kybernetes 42, no. 1 (January 4, 2013): 67–81. http://dx.doi.org/10.1108/03684921311295484.

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Walker, Neff, Bradley Fain, Arthur D. Fisk, and Christy L. Mcguire. "Aging and Decision Making: Driving-Related Problem Solving." Human Factors: The Journal of the Human Factors and Ergonomics Society 39, no. 3 (September 1997): 438–44. http://dx.doi.org/10.1518/001872097778827188.

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Borror, Connie M. "Statistics for Applied Problem Solving and Decision Making." Journal of Quality Technology 30, no. 3 (July 1998): 306–8. http://dx.doi.org/10.1080/00224065.1998.11979865.

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Ji, Junzhe, Pavlos Dimitratos, and Qingan Huang. "Problem-solving dissension and international entry mode performance." International Marketing Review 33, no. 2 (April 11, 2016): 219–45. http://dx.doi.org/10.1108/imr-10-2014-0328.

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Purpose – The purpose of this paper is to examine international decision making, information processing, and related performance implications. The authors aim to explore the relationship between international decision making and problem-solving dissensions related to entry mode decisions. In addition, they aim to investigate the effects of dissension on entry mode performance, and the moderating effect of the foreign direct investment (FDI) vs non-FDI decision as it relates to dissension-mode performance. Despite their significance from an information processing perspective, these issues have not been sufficiently explored in international entry mode research. Design/methodology/approach – This research presents data collected from 233 privately owned internationalized Chinese firms. The analysis in this investigation includes hierarchical ordinary least squares regression. Findings – The findings suggest an inverse U-shaped relationship between dissension and entry mode performance, as opposed to a linear one, and a moderating effect of FDI vs non-FDI decisions on this curvilinear dissension-performance association. These findings support and refine the rationale of the information processing perspective. Originality/value – These findings add realistic elements to the alleged “rational” international decision-making doctrine assumed in previous entry mode literature. The findings show the importance of the heterogeneity of information processing in entry mode strategic decision-making processes (SDMPs), and its effects on specific decision types. The authors believe that this is the first empirical study to use an information processing perspective to examine the effects of SDMPs on entry mode performance.

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Remenova, Katarina, and Nadezda Jankelova. "Decision-making style of agribusiness managers." Agricultural Economics (Zemědělská ekonomika) 65, No. 7 (July 17, 2019): 322–30. http://dx.doi.org/10.17221/289/2018-agricecon.

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How agricultural managers gain, process and use information in decision-making and problem-solving process refers to decision-making styles. A successful decision depends on the flexibility of using decision-making styles in different situations. The research paper monitors the dependence between the decision-making style of agricultural managers and their personal and working parameters. To identify the decision-making styles, the MB-type indicator (Myers-Briggs type indicator) was used. The results of non-parametric testing give proof that there is a statistically significant dependence between the type of decision problem and decision-making style, “Intuitive” and “Sensing”. Parametric test ANOVA was applied to assess potential differences in the score of decision-making style by nominal-level variables. The results gave proof of a strong statistically significant difference in score of decision-making style, “Intuitive” and “Sensing” between groups of current leading position. The difference in scoring for “Thinking” and “Feeling” as decision-making styles was confirmed to be statistically significant even in functional areas of control. Subsequently, the size of this difference was calculated.

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Werner, M. "A model for medical decision making and problem solving." Clinical Chemistry 41, no. 8 (August 1, 1995): 1215–22. http://dx.doi.org/10.1093/clinchem/41.8.1215.

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Abstract Clinicians confront the classical problem of decision making under uncertainty, but a universal procedure by which they deal with this situation, both in diagnosis and therapy, can be defined. This consists in the choice of a specific course of action from available alternatives so as to reduce uncertainty. Formal analysis evidences that the expected value of this process depends on the a priori probabilities confronted, the discriminatory power of the action chosen, and the values and costs associated with possible outcomes. Clinical problem-solving represents the construction of a systematic strategy from multiple decisional building blocks. Depending on the level of uncertainty the physicians attach to their working hypothesis, they can choose among at least four prototype strategies: pattern recognition, the hypothetico-deductive process, arborization, and exhaustion. However, the resolution of real-life problems can involve a combination of these game plans. Formal analysis of each strategy permits definition of its appropriate a priori probabilities, action characteristics, and cost implications.

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Gogodze, Joseph. "Ranking-Theory Methods for Solving Multicriteria Decision-Making Problems." Advances in Operations Research 2019 (April 1, 2019): 1–7. http://dx.doi.org/10.1155/2019/3217949.

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The Pareto optimality is a widely used concept for the multicriteria decision-making problems. However, this concept has a significant drawback—the set of Pareto optimal alternatives usually is large. Correspondingly, the problem of choosing a specific Pareto optimal alternative for the decision implementation is arising. This study proposes a new approach to select an “appropriate” alternative from the set of Pareto optimal alternatives. The proposed approach is based on ranking-theory methods used for ranking participants in sports tournaments. In the framework of the proposed approach, we build a special score matrix for a given multicriteria problem, which allows the use of the mentioned ranking methods and to choose the corresponding best-ranked alternative from the Pareto set as a solution of the problem. The proposed approach is particularly useful when no decision-making authority is available, or when the relative importance of various criteria has not been evaluated previously. The proposed approach is tested on an example of a materials-selection problem for a sailboat mast.

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Alagoz, Oguzhan, Heather Hsu, Andrew J. Schaefer, and Mark S. Roberts. "Markov Decision Processes: A Tool for Sequential Decision Making under Uncertainty." Medical Decision Making 30, no. 4 (December 31, 2009): 474–83. http://dx.doi.org/10.1177/0272989x09353194.

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We provide a tutorial on the construction and evaluation of Markov decision processes (MDPs), which are powerful analytical tools used for sequential decision making under uncertainty that have been widely used in many industrial and manufacturing applications but are underutilized in medical decision making (MDM). We demonstrate the use of an MDP to solve a sequential clinical treatment problem under uncertainty. Markov decision processes generalize standard Markov models in that a decision process is embedded in the model and multiple decisions are made over time. Furthermore, they have significant advantages over standard decision analysis. We compare MDPs to standard Markov-based simulation models by solving the problem of the optimal timing of living-donor liver transplantation using both methods. Both models result in the same optimal transplantation policy and the same total life expectancies for the same patient and living donor. The computation time for solving the MDP model is significantly smaller than that for solving the Markov model. We briefly describe the growing literature of MDPs applied to medical decisions.

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Martin, Lindsay C., Krista L. Donohoe, and David A. Holdford. "Decision-Making and Problem-Solving Approaches in Pharmacy Education." American Journal of Pharmaceutical Education 80, no. 3 (April 25, 2016): 52. http://dx.doi.org/10.5688/ajpe80352.

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Walton, Douglas, Alice Toniolo, and Timothy J. Norman. "Dialectical Models of Deliberation, Problem Solving and Decision Making." Argumentation 34, no. 2 (September 13, 2019): 163–205. http://dx.doi.org/10.1007/s10503-019-09497-9.

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Gouran, Dennis S. "Rational approaches to decision‐making and problem‐solving discussion." Quarterly Journal of Speech 77, no. 3 (August 1991): 343–58. http://dx.doi.org/10.1080/00335639109383966.

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Blauth, Matthias Jan, René Mauer, and Niklas Friederichsen. "Increasing the Problem Solving Speed Through Effectual Decision Making." Academy of Management Proceedings 2014, no. 1 (January 2014): 13338. http://dx.doi.org/10.5465/ambpp.2014.13338abstract.

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Jing, MingE, Dian Zhou, PuShan Tang, XiaoFang Zhou, and Hua Zhang. "Solving SAT problem by heuristic polarity decision-making algorithm." Science in China Series F: Information Sciences 50, no. 6 (December 2007): 915–25. http://dx.doi.org/10.1007/s11432-007-0070-1.

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Ji, Xue, Qi Gao, Fupeng Yin, and Hengdong Guo. "An Efficient Imperialist Competitive Algorithm for Solving the QFD Decision Problem." Mathematical Problems in Engineering 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/2601561.

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It is an important QFD decision problem to determine the engineering characteristics and their corresponding actual fulfillment levels. With the increasing complexity of actual engineering problems, the corresponding QFD matrixes become much huger, and the time spent on analyzing these matrixes and making decisions will be unacceptable. In this paper, a solution for efficiently solving the QFD decision problem is proposed. The QFD decision problem is reformulated as a mixed integer nonlinear programming (MINLP) model, which aims to maximize overall customer satisfaction with the consideration of the enterprises’ capability, cost, and resource constraints. And then an improved algorithm G-ICA, a combination of Imperialist Competitive Algorithm (ICA) and genetic algorithm (GA), is proposed to tackle this model. The G-ICA is compared with other mature algorithms by solving 7 numerical MINLP problems and 4 adapted QFD decision problems with different scales. The results verify a satisfied global optimization performance and time performance of the G-ICA. Meanwhile, the proposed algorithm’s better capabilities to guarantee decision-making accuracy and efficiency are also proved.

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Mashunin. "Mathematical Apparatus of Optimal Decision-Making Based on Vector Optimization." Applied System Innovation 2, no. 4 (October 11, 2019): 32. http://dx.doi.org/10.3390/asi2040032.

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We present a problem of “acceptance of an optimal solution” as a mathematical model in the form of a vector problem of mathematical programming. For the solution of such a class of problems, we show the theory of vector optimization as a mathematical apparatus of acceptance of optimal solutions. Methods of solution of vector problems are directed to problem solving with equivalent criteria and with the given priority of a criterion. Following our research, the analysis and problem definition of decision making under the conditions of certainty and uncertainty are presented. We show the transformation of a mathematical model under the conditions of uncertainty into a model under the conditions of certainty. We present problems of acceptance of an optimal solution under the conditions of uncertainty with data that are represented by up to four parameters, and also show geometrical interpretation of results of the decision. Each numerical example includes input data (requirement specification) for modeling, transformation of a mathematical model under the conditions of uncertainty into a model under the conditions of certainty, making optimal decisions with equivalent criteria (solving a numerical model), and, making an optimal decision with a given priority criterion.

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Tarigan, Medianta, Luluatnul Luluatnul, Tiara Maulida, and Anastasia Wulandari. "KEPRIBADIAN, GAYA BERPIKIR, GAYA PEMECAHAN MASALAH, DAN GAYA PENGAMBILAN KEPUTUSAN." Proyeksi 14, no. 2 (November 20, 2019): 126. http://dx.doi.org/10.30659/jp.14.2.126-138.

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This research was conducted to investigate the contributions between personality, thinking style, problem solving style, and decision making style. 301 productive age people (25-44 years old) participated in this study. The researchers used the Myers-Briggs Type Indicator (MBTI) short version, the Gregorc Delineator Style (GDS), VIEW: Assessment of Problem Solving Style, and General Decision Making Style (GDMS). The analysis was performed using the multinomial regression analysis method. The results showed that thinking style is influenced by personality in which several aspects of personality affect several types of thinking styles. Problem solving styles are influenced by thinking styles where several types of thinking styles affect several types of problem solving styles. Decision making style is influenced by thinking style where several types of thinking style affect several types of decision making style. And there is no influence of the problem solving style on the overall decision making style, but several types of problem solving styles affect several types of decision making styles.

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Pate, Larry E., John E. Young, and Robert L. Swinth. "Group Processes in Solving Complex Novel Problems: Implications for Executives' Decision Making." Psychological Reports 62, no. 1 (February 1988): 23–29. http://dx.doi.org/10.2466/pr0.1988.62.1.23.

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This study examined the group problem-solving process with 115 subjects in face-to-face groups responding to complex novel problems. A working theory of group problem-solving behavior in organizational settings was partially tested in a role-play task simulating top executive decision-making. Two problem-solving conditions were examined, a search condition (joint problem-solving) and a no-search condition (authority, impose and vote/mechanistic procedures). No significant differences were found between conditions with respect to (a) type of issue resolutions (integrative versus win-lose), (b) individual goal attainment, and (c) individual member's acceptance. Surprisingly, the direction of the results for completely achieved goals was opposite from that predicted. The findings may have been a result of perceived role ambiguity attributed to the confederate group leader.

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Swann, Levi, Vesna Popovic, Alethea Blackler, and Helen Thompson. "Airport Security Screener Problem-Solving Knowledge and Implications." Human Factors: The Journal of the Human Factors and Ergonomics Society 62, no. 8 (September 26, 2019): 1265–85. http://dx.doi.org/10.1177/0018720819874169.

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Objective This research investigates security screeners’ knowledge and the effect that differences in knowledge have on the performance of problem-solving activities. We argue that the development of problem-solving knowledge enables security screeners to perform effective problem-solving activity, which assists search and decision-making processes. Background Airport security screening research has investigated the many variables that affect security screeners’ search and decision making during simulated threat-detection tasks. Although search and decision making are essential aspects of security screening, few studies have investigated the problem-solving knowledge and activities that support security screening task performance. Method Sixteen more-experienced and 24 less-experienced security screeners were observed as they performed x-ray screening in the field at an Australian international airport’s departure security checkpoint. Participants wore eye-tracking glasses and delivered concurrent verbal protocol. Results When interacting with other security screeners, more-experienced screeners demonstrated situational knowledge more than less-experienced screeners, whereas less-experienced screeners experienced more insufficient knowledge. Lag-sequential analysis using combined data from both screener groups showed that situational knowledge facilitated effective problem-solving activity to support search and decision making. Insufficient knowledge led screeners to seek assistance and defer decision making. Conclusion This study expands current understandings of airport security screening. It demonstrates that security screeners develop knowledge that is specific to problem solving. This knowledge assists effective problem-solving activity to support search and decision making, and to mitigate uncertainty during the x-ray screening task. Application Findings can inform future security screening processes, screener training, and technology support tools. Furthermore, findings are potentially transferable to other domains.

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Gregório, Micaela, Andreia Teixeira, Rosália Páscoa, Sofia Baptista, Rosa Carvalho, and Carlos Martins. "The Problem-Solving Decision-Making scale—translation and validation for the Portuguese language: a cross-sectional study." BMJ Open 10, no. 6 (June 2020): e033625. http://dx.doi.org/10.1136/bmjopen-2019-033625.

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ObjectivesTo translate and validate the Problem-Solving Decision-Making scale instrument into the Portuguese language.DesignCross-sectional study.Setting: participantsThe Problem-Solving Decision-Making scale was translated from English to Portuguese and then back-translated to obtain a final version. The questionnaire was then applied face-to-face from January to March 2019 in a representative sample of the Portuguese population (n=301 people aged 20 years or more) to validate the Problem-Solving Decision-Making scale in a Portuguese population.OutcomesPrincipal component analysis and Cronbach’s alpha.ResultsPrincipal component analysis was used to evaluate the validity of the internal structure of the scale. The results identified two components: problem-solving and decision-making with an explained variance of 65.9%. For internal consistency, three different techniques were used and applied to the two components. All of the items have very good internal consistency (problem-solving Cronbach’s alpha=0.931 and decision-making Cronbach’s alpha=0.951).ConclusionsThe validation of the Portuguese scale agreed well with the existing literature. The scale can be divided into two components: the problem-solving component and the decision-making component. The translated scale demonstrated good internal consistency and can therefore be used in future studies.

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TANG, XIJIN. "TOWARDS META-SYNTHETIC SUPPORT TO UNSTRUCTURED PROBLEM SOLVING." International Journal of Information Technology & Decision Making 06, no. 03 (September 2007): 491–508. http://dx.doi.org/10.1142/s0219622007002630.

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Decision support system (DSS) aims to provide effective support to solve unstructured, ill-structured or wicked problems as its initial claim in the late 1960s. Great as those technology achievements, "people problems" are key reasons of unimplemented goals of DSS, and sometimes increase uncertainties to decision making process. Meta-synthesis system approach (MSA) is oriented to complexities in those problems. In this paper, we adopt a paradigm of decision making in a DSS context, which emphasizes the synthesis of perspectives towards problems description and analysis, to explain the meta-synthetic support to unstructured problem solving. After very brief introduction of basic ideas of MSA and its testbed, Hall of Workshop on Meta-Synthetic Engineering (HWMSE), which is regarded as a knowledge creating ba, we address computerized supports to expose problem structure by collaborative activities for qualitative meta-synthesis. A practical tool and its visualization of humans' ideas are introduced.

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Vannini, Antonella, and Ulisse di Corpo. "Supercausalitŕ, ipnosi e decision making." IPNOSI, no. 2 (January 2013): 55–70. http://dx.doi.org/10.3280/ipn2012-002004.

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In 1942 the mathematician Luigi Fantappič formulated the theory of syntropy starting from the negative solution of the equation linking relativity and quantum mechanics. The negative solution had been rejected by physicists as it describes energy and matter moving backwards in time. However, Fantappič noticed that this solution is characterized by the properties of concentration of energy and matter, differentiation, complexity, formation of structures and evolution towards order. Since these properties coincide with the typical properties of living systems, Fantappič came to the conclusion that life demonstrates the actual existence in nature of the negative solution and that life itself is a result of causes located in the future. This innovative model offers an explanation of the fundamental distinction between "problem solving" and "decision making", according to which problem solving is based on information and knowledge acquired in the past, whereas decision-making is based on intuitions and emotional signals from the future. Ericksonian Hypnosis, together with the syntropy model of Luigi Fantappič, offers a way to bring the insight and resources of the unconscious mind into decision making.

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Rogers, John C., David E. Swee, and John A. Ullian. "Teaching medical decision making and students' clinical problem solving skills." Medical Teacher 13, no. 2 (January 1991): 157–64. http://dx.doi.org/10.3109/01421599109029025.

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Morera, Osvaldo F., Albert Maydeu-Olivares, Thomas E. Nygren, Rebecca J. White, Norma P. Fernandez, and Monica C. Skewes. "Social problem solving predicts decision making styles among US Hispanics." Personality and Individual Differences 41, no. 2 (July 2006): 307–17. http://dx.doi.org/10.1016/j.paid.2005.08.016.

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Raadschelders, Jos C. N., and Travis A. Whetsell. "Conceptualizing the Landscape of Decision Making for Complex Problem Solving." International Journal of Public Administration 41, no. 14 (July 28, 2017): 1132–44. http://dx.doi.org/10.1080/01900692.2017.1347946.

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Rastogi, P. N. "Explanation, Prediction, Problem‐Solving and Decision‐Making in Social Systems." Kybernetes 17, no. 1 (January 1988): 33–45. http://dx.doi.org/10.1108/eb005779.

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Naftel, Margaret I., and Maurice J. Elias. "Building Problem Solving and Decision Making Skills through Literature Analysis." Middle School Journal 26, no. 4 (March 1995): 7–11. http://dx.doi.org/10.1080/00940771.1995.11496118.

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Naftel, Margaret I., Mary Driscoll, Maurice J. Elias, and Joseph A. Ierardi. "Problem Solving and Decision Making in an Eighth-Grade Class." Clearing House: A Journal of Educational Strategies, Issues and Ideas 66, no. 3 (February 1993): 177–80. http://dx.doi.org/10.1080/00098655.1993.9955964.

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Solem, Allen R. "Some applications of problem-solving versus decision-making to management." Journal of Business and Psychology 6, no. 3 (1992): 401–11. http://dx.doi.org/10.1007/bf01126774.

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Nishad, Anil Kumar, and S. R. Singh. "Solving multi-objective decision making problem in intuitionistic fuzzy environment." International Journal of System Assurance Engineering and Management 6, no. 2 (January 10, 2015): 206–15. http://dx.doi.org/10.1007/s13198-014-0331-5.

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Zhang, Pei, Amira Essaid, Cecilia Zanni-Merk, Denis Cavallucci, and Sarra Ghabri. "Experience capitalization to support decision making in inventive problem solving." Computers in Industry 101 (October 2018): 25–40. http://dx.doi.org/10.1016/j.compind.2018.06.001.

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Pappas, Janice L. "Biological taxonomic problem solving using fuzzy decision-making analytical tools." Fuzzy Sets and Systems 157, no. 12 (June 2006): 1687–703. http://dx.doi.org/10.1016/j.fss.2006.01.002.

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Goos, Merrilyn. "Metacognitive decision making and social interactions during paired problem solving." Mathematics Education Research Journal 6, no. 2 (December 1994): 144–65. http://dx.doi.org/10.1007/bf03217269.

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Tsai, Tsuen-Chiuan, Peter H. Harasym, Sylvain Coderre, Kevin McLaughlin, and Tyrone Donnon. "Assessing ethical problem solving by reasoning rather than decision making." Medical Education 43, no. 12 (December 2009): 1188–97. http://dx.doi.org/10.1111/j.1365-2923.2009.03516.x.

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Zheng, Yue, June Liu, and Zhongping Wan. "Interactive fuzzy decision making method for solving bilevel programming problem." Applied Mathematical Modelling 38, no. 13 (July 2014): 3136–41. http://dx.doi.org/10.1016/j.apm.2013.11.008.

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Knight, Kevin, and Donald F. Dansereau. "Tools for Drug and Alcohol Education: Using Decision Worksheets in Personal Problem Solving." Journal of Drug Education 22, no. 3 (September 1992): 261–71. http://dx.doi.org/10.2190/1du3-p9vq-fy6l-j3py.

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Previous research has indicated that poor decisions with regard to drugs (including alcohol) and other issues involving personal risks often stem from poor decision-making strategies. This study examines the use of decision worksheets in training individuals to employ better decision-making strategies. Forty-two students enrolled at Texas Christian University participated in a two-session, four-hour study. An experimental group and a control group were asked to read decision-making scenarios related to alcohol usage. Participants were then requested to rate a given list of possible alternatives, and to write a persuasive essay defending their ratings. The experimental group was given the same written scenario with a decision worksheet related to the scenario as a supplement. The essays were scored on several dimensions by two raters. Multivariate analyses indicated that the experimental group had higher mean scores than the control group on measures of “overall goodness,” intensity, and inclusion of elements of feasibility, costs, and benefits. In addition to decision worksheets appearing to be a promising approach to training decision-making skills related to alcohol, persuasive essays appear to have promise in evaluating and extending the usage of decision worksheets.

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Halouani, Nesrin, Habib Chabchoub, and Jean-Marc Martel. "A group decision-making aggregation process." Yugoslav Journal of Operations Research 18, no. 2 (2008): 205–19. http://dx.doi.org/10.2298/yjor0802205h.

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Within the frame of decision aid literature, decision making problems with multiple sources of information have drawn the attention of researchers from a wide spectrum of disciplines. In decision situations with multiple individuals, each one has his own knowledge of the decision problem alternatives. The use of information assessed in different domains is not a seldom situation. This non-homogeneous information can be represented by values belonging to domains with different nature as linguistic, numerical and interval valued or can be values assessed in label sets with different granularity and multigranular linguistic information. Decision processes for solving these problems are composed by two steps: aggregation and exploitation. The main problem to deal with non-homogeneous contexts is the aggregation manner of the information assessed in these contexts. The purpose of this paper is to address this problem and establish a procedure to aggregate individual opinions into a common decision to deal with non-homogeneous contexts. This process combines at the same time numerical, interval valued and linguistic information. Since subjectivity, vagueness and imprecision enter into the assessments of experts, the 2-tuple fuzzy linguistic representation model is used to deal with the fuzziness of human judgment.

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Huang, Yuan Jiang, and Jie Huang. "The Study on Fire Spreading Based on Mobile Agent and Grid Technology." Advanced Materials Research 971-973 (June 2014): 1834–37. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1834.

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In order to build a truly open OpenDSS and enhance the complexity of decision-making DSS for solving the problem of Fire spreading. a new model was given based on mobile Agent Open Decision Support System in grid environment. Making use of the intelligence of MAS and adaptive capacity, based on the reasoning mechanisms for task decomposition and resource decision-making grid matching, described in detail layer program CBR-based reasoning mechanism of the Agent and its operation flow and interactive mechanism, put the complexity of distribution of decision-making problem solving to the grid nodes on the environment, implementation of parallel asynchronous decision-making problem solving. Optimize distribution through the logistics of the problem MABODSS design, it proved to improve the system's intelligence and operational efficiency.

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Berwick, Donald M., Milton Weinstein, and Randall D. Cebul. "Session II: Clinical decision making: Clinical problems; How to teach problem solving strategies." Journal of the American College of Cardiology 8, no. 2 (August 1986): 471–72. http://dx.doi.org/10.1016/s0735-1097(86)80075-4.

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Gogodze, Joseph. "Ranking Methods for Multicriteria Decision-Making: Application to Benchmarking of Solvers and Problems." Scientific Programming 2021 (July 11, 2021): 1–14. http://dx.doi.org/10.1155/2021/5513860.

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Evaluating the performance assessments of solvers (e.g., for computation programs), known as the solver benchmarking problem, has become a topic of intense study, and various approaches have been discussed in the literature. Such a variety of approaches exist because a benchmark problem is essentially a multicriteria problem. In particular, the appropriate multicriteria decision-making problem can correspond naturally to each benchmark problem and vice versa. In this study, to solve the solver benchmarking problem, we apply the ranking-theory method recently proposed for solving multicriteria decision-making problems. The benchmarking problem of differential evolution algorithms was considered for a case study to illustrate the ability of the proposed method. This problem was solved using ranking methods from different areas of origin. The comparisons revealed that the proposed method is competitive and can be successfully used to solve benchmarking problems and obtain relevant engineering decisions. This study can help practitioners and researchers use multicriteria decision-making approaches for benchmarking problems in different areas, particularly software benchmarking.

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KUNIFUJI, SUSUMU, and NAOTAKA KATO. "CONSENSUS-MAKING SUPPORT SYSTEMS DEDICATED TO CREATIVE PROBLEM SOLVING." International Journal of Information Technology & Decision Making 06, no. 03 (September 2007): 459–74. http://dx.doi.org/10.1142/s0219622007002575.

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There are many creative thinking manual methods in the world. They are brainstorming method, brain-writing method, mind mapping, NM method, Equivalent Transformation method, KJ method, etc. Human thinking process for creative problem solving consists of four sub-processes. They are divergent thinking sub-process, convergent thinking sub-process, idea crystallization sub-process, and idea verification sub-process. In accordance with this proposal, most Japanese research and development is centered on this four types of creative thinking manual methods and support systems. In this paper, we describe three types of Group Decision Support Systems (DSSs) for creative problem solving, similar to KJ method. All design philosophy depends on bottom-up decision-making. They are knowledge acquisition support groupware GRAPE, consensus-making support systems Group Coordinator (I) and Group Coordinator (II). The characteristic function of GRAPE is knowledge merging for GRAPE users, and that of Group-Coordinator (I) and Group-Coordinator (II) is tradeoff resolution by sensitivity analysis and adjusting of user requirements by the QDA method, respectively. The systems that we have developed are similar to the KJ method, which is the most popular methodology for creative problem solving in Japan. The essence of our developed methodology and tools is that it boosts intellectual productivity. GRAPE and its successors can speed-up the given group decision making problem by two to three times with respect to the idea crystallization (evaluation and judgment) sub-process.

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Aganbegyan, A. "On Applying Scientific Methods While Solving Socio-economic Problems." Voprosy Ekonomiki, no. 7 (July 20, 2013): 124–37. http://dx.doi.org/10.32609/0042-8736-2013-7-124-137.

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Using the case of preparing solutions of different socio-economic problems the author on the basis of system analysis assesses their complexity, validity and target orientation. It is shown that many decisions do not take into account long-term effects and factors that are not directly related to the sphere of the given decision. The author pays special attention to the problem of training the personnel involved in the process of decision-making and its implementation. In conclusion the author tries to rank by their importance socio-economic decisions that are on the agenda.

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Deepa, N., B. Prabadevi, and Gautam Srivastava. "Integrated Ranking Algorithm for Efficient Decision Making." International Journal of Information Technology & Decision Making 20, no. 02 (February 26, 2021): 597–618. http://dx.doi.org/10.1142/s0219622021500152.

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Decision making remains a prominent issue in all the problem domains. To make better decisions, multiple factors of the given problem need to be considered and evaluated. Multi-criteria decision-making methods have been used popularly for solving decision-making problems characterized by multiple factors. When multiple factors are considered, it is recommended to categorize the factors into the main criteria and sub-criteria. In this paper, GRAP-an integrated ranking algorithm has been developed by combining Grey Relational Analysis, Rank Sum, and Preference Ranking Organization Method Enrichment Evaluation methods (PROMETHEE) to solve decision-making problems. The weights of the sub-criteria are calculated using the Rank Sum method. Grey Relational Analysis method is used to convert the sub-criteria values into main criteria values in the form of evaluation scores of alternatives. The final ranking scores of the alternatives are obtained using the PROMETHEE method. A decision model is developed using the proposed GRAP algorithm and applied to the Job Profile selection case study. The developed decision model showed much better results compared to other MCDM approaches namely the Simple Additive Weight method, TOPSIS, VIKOR, and Complex Proportional Assessment (COPRAS). Further, a sanity check has been carried out by comparing the results of the decision model with experts’ opinions.

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Yusuf, Mochamad, and Rooselyna Ekawati. "The Decision Making Process of High School Students with High Mathematical Ability in Solving Social Arithmetic Problems." MATHEdunesa 9, no. 1 (June 28, 2020): 194–201. http://dx.doi.org/10.26740/mathedunesa.v9n1.p194-201.

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The decision making process is the individual steps in choosing an appropriate alternative choice from the various alternatives available to solve the problem. The purpose of this study is to describe the decision making process of high school students with high mathematical abilities in solving social arithmetic problems. The research approach used in this study is qualitative research. While the type of research is a qualitative descriptive study. The process of collecting data uses several instruments consisting of mathematics ability tests, social arithmetic problem solving tests, and interview guidelines. This research was conducted on 11th grade high school students in one of the state high schools in Sidoarjo. The subjects of this study consisted of one student with high mathematical abilities. The data collection method in this study began with the provision of mathematics ability tests for all students followed by selecting one subject with high mathematical ability through several considerations. The next step, the subject is given a problem solving test and interviewed to get the decision making process carried out by the subject. The results showed that students with high mathematical abilities carried out a series of activities in the stages of the decision making process, namely define the decision, understand the context, identify the options, prioritise the options, evaluate the consequences, review the decisions, and take actions.

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Gogodze, Joseph. "Revealed Comparative Advantage Method for Solving Multicriteria Decision-making Problems." Foundations of Computing and Decision Sciences 46, no. 1 (March 1, 2021): 85–96. http://dx.doi.org/10.2478/fcds-2021-0006.

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Abstract This study proposes and analyzes a new method for the post-Pareto analysis of multicriteria decision-making (MCDM) problems: the revealed comparative advantage (RCA) assessment method. An interesting feature of the suggested method is that it uses the solution to a special eigenvalue problem and can be considered an analog/modification in the MCDM context of well-known ranking methods including the authority-hub method, PageRank method, and so on, which have been successfully applied to such fields as economics, bibliometrics, web search design, and so on. For illustrative purposes, this study discusses a particular MCDM problem to demonstrate the practicality of the method. The theoretical considerations and conducted calculations reveal that the RCA assessment method is self-consistent and easily implementable. Moreover, comparisons with well-known tools of an MCDM analysis shows that the results obtained using this method are appropriate and competitive. An important particularity of the RCA assessment method is that it can be useful for decision-makers in the case in which no decision-making authority is available or when the relative importance of various criteria has not been preliminarily evaluated.

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Khotskina, Valentina, Nykolay Khodukin, and Zhanna Tsymbal. "SOLVING OPTIMIZATION PROBLEM USING MATLAB PACKAGE." Scientific Journal of Polonia University 31, no. 6 (December 20, 2018): 67–75. http://dx.doi.org/10.23856/3106.

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The aim of the research leads to study optimization methods, modern software solutions for decision making with MatLab package and the GNU Octave package, and Microsoft Excel and LibreOffice Calc spreadsheets, as well as the formation of economic model and application of solution methods and optimization package to this model.

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