Relevant bibliographies by topics / Decision making – Mathematical models

Academic literature on the topic 'Decision making – Mathematical models'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Decision making – Mathematical models.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Decision making – Mathematical models"

1

Novikov, Dmitry, Vsevolod Korepanov, and Alexander Chkhartishvili. "Reflexion in mathematical models of decision-making." International Journal of Parallel, Emergent and Distributed Systems 33, no. 3 (January 5, 2018): 319–35. http://dx.doi.org/10.1080/17445760.2017.1413189.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Stanojević, Bogdana, Simona Dzitac, and Ioan Dzitac. "Fuzzy Numbers and Fractional Programming in Making Decisions." International Journal of Information Technology & Decision Making 19, no. 04 (July 2020): 1123–47. http://dx.doi.org/10.1142/s0219622020300037.

Full text
Abstract:
This study surveys the use of fuzzy numbers in classic optimization models, and its effects on making decisions. In a wide sense, mathematical programming is a collection of tools used in mathematical optimization to make good decisions. There are many sectors of economy that employ it. Finance and government, logistics and manufacturing, the distribution of the electrical power are worth to be first mentioned. When real life problems are modeled mathematically, there is always a trade-off between model’s accuracy and complexity. By this survey, we aim to present in a concise form some mathematical models from the literature together with the methods to solve them. We will focus mainly on fuzzy fractional programming problems. We will also refer to but not describe in detail the multi-criteria decision-making problems involving fuzzy numbers and linear fractional programming models.
APA, Harvard, Vancouver, ISO, and other styles
3

Bustince, Humberto, Susana Montes, and Manuel Ojeda-Aciego. "Fuzzy Mathematical Models for Computer Science and Decision Making." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, Suppl. 1 (December 2017): 1–3. http://dx.doi.org/10.1142/s0218488517020020.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sukhodolov, Alexander, Valentina Marenko, and Vyacheslav Lozhnikov. "Mass Media Information Validation Models for Decision Making." Theoretical and Practical Issues of Journalism 9, no. 1 (March 23, 2020): 34–45. http://dx.doi.org/10.17150/2308-6203.2020.9(1).34-45.

Full text
Abstract:
he authors study the mathematical models that formalize philosophical notions “information field” and “information” with mathematical means including Gauss’s theorem. They propose a radial hierarchy of information validation that reflects the taxonomic structure of factors affecting it. Besides, the authors work out a cognitive model that contributes to making scientifically based decisions concerning validity of information in the mass media. The model is tested with the help of simplicial analysis which enables to see unevident links between the factors influencing the formation of the structure of the cognitive model. Calculation procedures helped to correct the analyst’s speculations concerning the links between the factors in the cognitive model, applying the notion “coupling network”, which implies a connection between two separate simplexes through a network of intermediary simplexes. The results of the study may add to executive decision-making when designing and implementing programs of ideological purpose.
APA, Harvard, Vancouver, ISO, and other styles
5

Xu, Ting. "Uncertainty, Ignorance and Decision-Making." Amicus Curiae 3, no. 1 (October 27, 2021): 10–32. http://dx.doi.org/10.14296/ac.v3i1.5350.

Full text
Abstract:
A great deal of decision-making during crises is about coping with uncertainty. For rulemakers, this poses a fundamental challenge, as there has been a lack of a rigorous framework for understanding and analysing the nature and function of uncertainty in the context of rulemaking. In coping with crises, modelling has become a governance tool to navigate and tame uncertainty and justify decisions. This is because models, in particular mathematical models, can be useful to produce precise answers in numbers. This article examines the challenges rulemakers are facing in an uncertain world and argues that one of the most important challenges lies in rulemakers’ failures to understand the nature of uncertainty and ignorance in the contested arena of science for decision-making. It focuses on the relationship between uncertainty, ignorance and decisionmaking through a case study of the interaction between modelling and rulemaking in the Covid-19 pandemic. In so doing, this article provides an alternative strategy to number- and model-based rulemaking in an uncertain world. It provokes a rethinking of using science to measure and govern human affairs and the impact of numbers and quantification on law. Keywords: uncertainty; ignorance; decision-making; rulemaking; models; mathematical modelling; quantification; Covid-19.
APA, Harvard, Vancouver, ISO, and other styles
6

Tofallis, Christopher, Mik Wisniewski, and Tony Dacre. "Mathematical Programming: Optimization Models for Business and Management Decision Making." Journal of the Operational Research Society 42, no. 6 (June 1991): 514. http://dx.doi.org/10.2307/2583459.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Gelrud, Yakov, and Evgeny Kibalov. "ECONOMIC-MATHEMATICAL AND LOGICAL-HEURISTIC DECISION-MAKING MODELS: NEOSYSTEMIC SYNTHESIS." Bulletin of South Ural State University series "Economics and management" 14, no. 4 (2020): 130–37. http://dx.doi.org/10.14529/em200415.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Tofallis, Christopher. "Mathematical Programming: Optimization Models for Business and Management Decision Making." Journal of the Operational Research Society 42, no. 6 (June 1991): 514. http://dx.doi.org/10.1057/jors.1991.100.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

McGovern, Bernadette, M. Wisniewski, and T. Dacre. "Mathematical Programming: Optimization Models for Business and Management Decision Making." Statistician 41, no. 1 (1992): 127. http://dx.doi.org/10.2307/2348646.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Mintz, Alex, Nehemia Geva, and Karl Derouen. "Mathematical models of foreign policy decision-making: Compensatory vs. noncompensatory." Synthese 100, no. 3 (September 1994): 441–60. http://dx.doi.org/10.1007/bf01063911.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Decision making – Mathematical models"

1

Tecle, Aregai 1948. "Choice of multicriterion decision making techniques for watershed management." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/191145.

Full text
Abstract:
The problem of selecting a multicriterion decision making (MCDM) technique for watershed resources management is investigated. Of explicit concern in this research is the matching of a watersned resources management problem with an appropriate MCDM technique. More than seventy techniques are recognized while reviewing the area of MCDM. A new classification scheme is developed to categorize these techniques into four groups on the bases of each algorithm's structural formulation and the possible results obtained by using the algorithm. Other standard classification schemes are also discussed to better understand the differences and similarities among the techniques and thereby demonstrate the importance of matching a particular multicriterion decision problem with an appropriate MCDM technique. The desire for selecting the most appropriate MCDM technique for watershed resources management lead to the development of 49 technique choice criteria and an algorithm for selecting a technique. The algorithm divides the technique choice criteria into four groups: (1) DM/analyst-related criteria, (2) technique-related criteria, (3) problem-related criteria and (4) solution-related criteria. To analyze the applicability of MCDM techniques to a particular problem, the levels of performance of the techniques in solving the problem are, at first, evaluated with respect to the choice criteria in each criterion group resulting in four sets of preference rankings. These four sets are then linearly combined using a set of trade-off parameters to determine the overall preference ranking of the techniques. The MUM technique selection process is itself modeled as a multiobjective problem. In this research, for example, a set of 15 techniques, the author is familiar with, are analyzed for their appropriateness to solve a watershed resources management problem. The performance levels of the 15 MCDM techniques in solving such a problem are evaluated with respect to a selected set of technique choice criteria in each criterion group leading to a set of four evaluation matrices of choice criteria versus alternative techniques. This technique choice problem is then analyzed using a two-stage evaluation procedure known as composite programming. The final product of the process resulted in a preference ranking of the alternative MCDM techniques.
APA, Harvard, Vancouver, ISO, and other styles
2

Tabaeh, Izadi Masoumeh. "On knowledge representation and decision making under uncertainty." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103012.

Full text
Abstract:
Designing systems with the ability to make optimal decisions under uncertainty is one of the goals of artificial intelligence. However, in many applications the design of optimal planners is complicated due to imprecise inputs and uncertain outputs resulting from stochastic dynamics. Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical framework to model these kinds of problems. However, the high computational demand of solution methods for POMDPs is a drawback for applying them in practice.
In this thesis, we present a two-fold approach for improving the tractability of POMDP planning. First, we focus on designing good heuristics for POMDP approximation algorithms. We aim to scale up the efficiency of a class of POMDP approximations called point-based planning methods by designing a good planning space. We study the effect of three properties of reachable belief state points that may influence the performance of point-based approximation methods. Second, we investigate approaches to designing good controllers using an alternative representation of systems with partial observability called Predictive State Representation (PSR). This part of the thesis advocates the usefulness and practicality of PSRs in planning under uncertainty. We also attempt to move some useful characteristics of the PSR model, which has a predictive view of the world, to the POMDP model, which has a probabilistic view of the hidden states of the world. We propose a planning algorithm motivated by the connections between the two models.
APA, Harvard, Vancouver, ISO, and other styles
3

Nagashima, Kazunobu. "Inference system for selection of an appropriate multiple attribute decision making method." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9942.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Callies, Jan-Peter. "Conservative decision-making and interference in uncertain dynamical systems." Thesis, University of Oxford, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711722.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Boyce, John S. "Linking PPBES and the POM with capabilities." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FBoyce.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Duclos, Gosselin Louis. "How Managers Can Use Predictive Analysis and Mathematical Models as Decision Making Tools." Thesis, Université Laval, 2011. http://www.theses.ulaval.ca/2011/26771/26771.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Heller, Collin M. "A computational model of engineering decision making." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50272.

Full text
Abstract:
The research objective of this thesis is to formulate and demonstrate a computational framework for modeling the design decisions of engineers. This framework is intended to be descriptive in nature as opposed to prescriptive or normative; the output of the model represents a plausible result of a designer's decision making process. The framework decomposes the decision into three elements: the problem statement, the designer's beliefs about the alternatives, and the designer's preferences. Multi-attribute utility theory is used to capture designer preferences for multiple objectives under uncertainty. Machine-learning techniques are used to store the designer's knowledge and to make Bayesian inferences regarding the attributes of alternatives. These models are integrated into the framework of a Markov decision process to simulate multiple sequential decisions. The overall framework enables the designer's decision problem to be transformed into an optimization problem statement; the simulated designer selects the alternative with the maximum expected utility. Although utility theory is typically viewed as a normative decision framework, the perspective in this research is that the approach can be used in a descriptive context for modeling rational and non-time critical decisions by engineering designers. This approach is intended to enable the formalisms of utility theory to be used to design human subjects experiments involving engineers in design organizations based on pairwise lotteries and other methods for preference elicitation. The results of these experiments would substantiate the selection of parameters in the model to enable it to be used to diagnose potential problems in engineering design projects. The purpose of the decision-making framework is to enable the development of a design process simulation of an organization involved in the development of a large-scale complex engineered system such as an aircraft or spacecraft. The decision model will allow researchers to determine the broader effects of individual engineering decisions on the aggregate dynamics of the design process and the resulting performance of the designed artifact itself. To illustrate the model's applicability in this context, the framework is demonstrated on three example problems: a one-dimensional decision problem, a multidimensional turbojet design problem, and a variable fidelity analysis problem. Individual utility functions are developed for designers in a requirements-driven design problem and then combined into a multi-attribute utility function. Gaussian process models are used to represent the designer's beliefs about the alternatives, and a custom covariance function is formulated to more accurately represent a designer's uncertainty in beliefs about the design attributes.
APA, Harvard, Vancouver, ISO, and other styles
8

Burth, Angela J. "Virtual military markets." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FBurth.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Fatah, Khwazbeen Saida. "Preference modelling approaches based on cumulative functions using simulation with applications." Thesis, University of South Wales, 2009. https://pure.southwales.ac.uk/en/studentthesis/preference-modelling-approaches-based-on-cumulative-functions-using-simulation-with-applications(60653456-e002-4a64-976a-8ae4e4fd4a7e).html.

Full text
Abstract:
In decision making problems under uncertainty, Mean Variance Model (MVM) consistent with Expected Utility Theory (EUT) plays an important role in ranking preferences for various alternative options. Despite its wide use, this model is appropriate only when random variables representing the alternative options are normally distributed and the utility function to be maximized is quadratic; both are undesirable properties to be satisfied with actual applications. In this research, a novel methodology has been adopted in developing generalized models that can reduce the deficiency of the existing models to solve large-scale decision problems, along with applications to real-world disputes. More specifically, for eliciting preferences for pairs of alternative options, two approaches are developed: one is based on Mean Variance Model (MVM), which is consistent with Expected Utility Theory (EUT), and the second is based on Analytic Hierarchy Processes (AHP). The main innovation in the first approach is in reformulating MVM to be based on cumulative functions using simulation. Two models under this approach are introduced: the first deals with ranking preferences for pairs of lotteries/options with non-negative outcomes only while the second, which is for risk modelling, is a risk-preference model that concerns normalized lotteries representing risk factors each is obtained from a multiplication decomposition of a lottery into its mean multiplied by a risk factor. Both approximation models, which are preference-based using the determined values for expected utility, have the potential to accommodate various distribution functions with different utility functions and capable of handling decision problems especially those encountered in financial economics. The study then reformulates the second approach, AHP; a new algorithm, using simulation, introduces an approximation method that restricts the level of inherent uncertainty to a certain limit. The research further focuses on proposing an integrated preference-based AHP model introducing a novel approximation stepwise algorithm that combines the two modified approaches, namely MVM and AHP; it multiplies the determined value for expected utility, which results from implementing the modified MVM, by the one obtained from processing AHP to obtain an aggregated weight indicator. The new integrated weight scale represents an accurate and flexible tool that can be employed efficiently to solve decision making problems for possible scenarios that concern financial economics Finally, to illustrate how the integrated model can be used as a practical methodology to solve real life selection problems, this research explores the first empirical case study on Tender Selection Process (TSP) in Kurdistan Region (KR) of Iraq; it is considered as an inductive and a comprehensive investigation on TSP, which has received minimum consideration in the region, and regarded as a significant contribution to this research. The implementation of the proposed model to this case study shows that, for the evaluation of construction tenders, the integrated approach is an appropriate model, which can be easily modified to assume specific conditions of the proposed project. Using simulation, generated data allows creation of a feedback system that can be utilized for the evaluation of future projects in addition to its capability to make data handling easier and the evaluation process less complex and time consuming.
APA, Harvard, Vancouver, ISO, and other styles
10

Zhou, Sida. "The Development and Evaluation of Aggregation Methods for Group Pairwise Comparison Judgments." PDXScholar, 1996. https://pdxscholar.library.pdx.edu/open_access_etds/1222.

Full text
Abstract:
The basic problem of decision making is to choose the best alternative from a set of competing alternatives that are evaluated under conflicting criteria. In general, the process is to evaluate decision elements by quantifying the subjective judgments. The Analytic Hierarchy Process (AHP) provides us with a comprehensive framework for solving such problems. As pointed out by Saaty, AHP "enables us to cope with the intuitive, the rational, and the irrational, all at the same time, when we make multicriteria and multiactor decisions". Furthermore, in most organizations decisions are made collectively, regardless of whether the organization is public or private. It is sometimes difficult to achieve consensus among group members, or for all members of a group to meet. The purpose of this dissertation was two-fold: First, we developed a new aggregation method - Minimum Distance Method (MDM) - to support group decision process and to help the decision makers achieve consensus under the framework of AHP. Second, we evaluated the performance of aggregation methods by using accuracy and group disagreement criteria. The evaluations were performed through simulation and empirical tests. MDM • employs the general distance concept, which is very appealing to the compromise nature of a group decision making. • preserves all of the characteristics of the functional equations approach proposed by Aczel and Saaty. • is based on a goal programming model, which is easy to solve by using a commercial software such as LINDO. • provides the weighted membership capability for participants. • allows for sensitivity analysis to investigate the effect of importance levels of decision makers in the group. The conclusions include the following: • Simulation and empirical tests show that the two most important factors in the aggregation of pairwise comparison judgments are the probability distribution of error terms and the aggregation method. • Selection of the appropriate aggregation method can result in significant improvements in decision quality. • The MDM outperforms the other aggregation methods when the pairwise comparison judgments have large variances. • Some of the prioritization methods, such as EV[AA'], EV[A'A], arithmetic and geometric mean of EV[AA'] and EV[A'A], can be dropped from consideration due to their poor performance
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Decision making – Mathematical models"

1

Kumar, G. Surya. Decision making & math models. Arlington, MA: Consortium for Mathematics and Its Applications, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kumar, G. Surya. Decision making and math models. Arlington, Mass: Consortium for Mathematics and Its Applications, Inc. (COMAP), 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Mitra, Gautam. Mathematical Models for Decision Support. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

NATO Advanced Study Institute on Mathematical Models for Decision Support (1988 Val d'Isère, France). Mathematical models for decision support. Edited by Mitra Gautam, Greenberg Harvey J, and North Atlantic Treaty Organization. Scientific Affairs Division. Berlin: Springer-Verlag, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Finlay, Paul N. Mathematical modelling in business decision-making. London: Croom Helm, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Vincke, Philippe. Multicriteria decision-aid. Chichester [England]: Wiley, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ingersoll, Jonathan E. Theory of financial decision making. Totowa, N.J: Rowman & Littlefield, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Myerson, Roger B. Probability models for economic decisions. Belmont, CA: Thomson/Brooke/Cole, 2005.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Gass, Saul I. Decision making, models and algorithms: A first course. Malabar, Fla: Krieger Pub. Co., 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Hardwick, Ian. Decision and discrete mathematics: Maths for decision-making in business and industry. 2nd ed. Chichester: Albion, 1996.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Decision making – Mathematical models"

1

Fiala, Petr. "Models of Cooperative Decision Making." In Lecture Notes in Economics and Mathematical Systems, 128–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59132-7_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Szaniawski, Klemens. "Mathematical Models and Social Facts." In On Science, Inference, Information and Decision-Making, 40–44. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5260-0_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gomes, Maria Isabel, and Nelson Chibeles Martins. "Single Criterion Decision Making." In Mathematical Models for Decision Making with Multiple Perspectives, 1–20. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003015154-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Mitra, Gautam. "Models for Decision Making: an Overview of Problems, Tools and Major Issues." In Mathematical Models for Decision Support, 17–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Turnovec, František. "MCDM and Models of Voting Decision Making." In Lecture Notes in Economics and Mathematical Systems, 212–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59132-7_25.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Watada, J., and H. Tanaka. "The Perspective of Possibilistic Models in Decision Making." In Lecture Notes in Economics and Mathematical Systems, 328–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-46609-0_35.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Roy, John R., and Paul F. Lesse. "Information Flows and Decision-Making in Urban Models." In Lecture Notes in Economics and Mathematical Systems, 67–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-51020-5_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Colapinto, Cinzia, Raja Jayaraman, and Davide La Torre. "Goal Programming Models for Managerial Strategic Decision Making." In Applied Mathematical Analysis: Theory, Methods, and Applications, 487–507. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-99918-0_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Fox, William P. "Introduction to Stochastic Decision-Making Models for Business Analytics." In Mathematical Modeling for Business Analytics, 25–58. Boca Raton, FL : CRC Press, 2018.: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315150208-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Geyda, Alexander S. "Operational Properties Estimation Mathematical Models and Statements of Problems." In Recent Research in Control Engineering and Decision Making, 411–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65283-8_34.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Decision making – Mathematical models"

1

Pashchenko, F. F., A. F. Pashchenko, Y. I. Kudinov, I. Y. Kudinov, E. S. Duvanov, and G. A. Pikina. "Adaptive Models in Decision-making Systems." In 2021 3rd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2021. http://dx.doi.org/10.1109/summa53307.2021.9632021.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Caha, Jan. "MATHEMATICAL MODELS OF UNCERTAINTY FOR SURFACE ANALYSES AND DECISION MAKING." In 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/bb2.v1/s11.021.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hayes, C. C., and F. Akhavi. "Aiding Design Decision Making: Adapting Mathematical Paradigms to Fit Designers’ Actual Needs." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49929.

Full text
Abstract:
When designing products, designers compare complex alternatives and select one or more for further development. The quality of these selection decisions directly impacts the quality, cost and safety of the final product. Decision theoretic approaches for making systematic comparisons might help in this process, yet designers do not tend to use them. The goals of this work are to begin understanding why, and to identify future questions that may lead to solutions. This paper summarizes the results of two studies, 1) an ethnographic study of working designers in which their actual practices and needs were observed during decision making, and 2) a laboratory study in which designers were asked to use mathematical models to compare and select design alternatives. Based on these studies, we conclude that the mathematical models, as formulated, are not well suited to designers’ needs. We propose a research agenda that may lead to new approaches combining decision theoretic and user-centered methods to create tools that the average designer will be willing to use.
APA, Harvard, Vancouver, ISO, and other styles
4

Dinicu, Anca, and Romana Oancea. "PREDICTABILITY POSSIBILITIES BASED ON MATHEMATICAL MODELS OF CONFLICT SITUATIONS." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-073.

Full text
Abstract:
The mathematical models of decision-making process related to conflict situations are possible to be designed with the help of the "lessons learned" taught us by the history of the last two decades and by approaching in a much wider frame of a multicriterial data bases concerning security features. Thus, every model must be created depending on the characteristics of the geopolitical region which is analyzed according to those indicators considered to be relevant for a given situation at a certain time. According to priori data, imposed criteria or alternatives, the mathematical models of decision making can be used in many ways and they are: identification and selection of best alternatives; sorting alternatives - from the best to the weakest one; clustering - assigning each alternative to a predefined uniform group; and identification of the important features for every possible alternative. For each category there are specific methods which are necessary to be implemented in order to obtain the best analysis. This paper aims to analyze some models of predictability in the field of decision making concerning regional security ensuring and the roots of this objective are not only evident but dual too, according with the two scientific domains on which the research is based. One the one hand is mathematics which gives us the opportunity of putting together data due to specific relations, and on the other hand is security studies which provides information that are processed and materialized in a result supposed to be the possible evolution of a security matter. It is an attempt of predicting real life through an abstract representation of it. By using representative data bases, the essence of this research is in fact to compare the probabilistic model and the artificial intelligence techniques one which could be involved in the decision making process.
APA, Harvard, Vancouver, ISO, and other styles
5

Alexei, Victoria, Silvia Munteanu, Olesea Borozan, Radu Melnic, Constantin Ababii, Andrei Șestacov, and Oleg Buldumac. "Multi-Agent System for Decision Making Based on Temporal Logic." In 11th International Conference on “Electronics, Communications and Computing". Technical University of Moldova, 2022. http://dx.doi.org/10.52326/ic-ecco.2021/ce.04.

Full text
Abstract:
The paper presents the results of the conceptual and structural design of a Multi-Agent system for decision making based on temporal logic. The decision making system has a Multi-Agent structure that forms a mesh network with broadcast communication, which ensures the organization o knowledge exchange between them. Functional elements and temporal logical operators are defined in the form of mathematical models, which allows their implementation based on hardware devices or software products. The functionality of the temporal logic is determined by the time function that calculates the credibility coefficient of the event and its influence on the decisions taken by the Agents
APA, Harvard, Vancouver, ISO, and other styles
6

HOLMES, PHILIP, PHILIP ECKHOFF, K. F. WONG-LIN, RAFAL BOGACZ, MIRIAM ZACKSENHOUSE, and JONATHAN D. COHEN. "THE PHYSICS OF DECISION MAKING: STOCHASTIC DIFFERENTIAL EQUATIONS AS MODELS FOR NEURAL DYNAMICS AND EVIDENCE ACCUMULATION IN CORTICAL CIRCUITS." In XVIth International Congress on Mathematical Physics. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814304634_0006.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Ghose, Devam, Gowtham Kesa, Vishwanath Varanasi, Sanjay Raina, and Michelle Abraham. "Covering Optimization Through Mathematical Model for Decision Making Support in Material Procurement." In 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2018. http://dx.doi.org/10.1109/isms.2018.00018.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Malak, Richard J., Lina Tucker, and Christiaan J. J. Paredis. "Composing Tradeoff Models for Multi-Attribute System-Level Decision Making." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49970.

Full text
Abstract:
In this paper, we study the prospects for modeling a system by composing tradeoff models of its components. A tradeoff model is an abstract representation of a system in terms of a predictive relationship between its top-level attributes. Designers can use this to predict the attributes they would achieve if they implemented the system. Prior approaches to generating tradeoff information are incompatible with model composition due to their reliance on classical Pareto dominance. We show that by using a generalization of this, called parameterized Pareto dominance, designers can produce tradeoff models that they can compose validly. The focus of this paper is on analyzing the modeling approach mathematically. The main result is proof that, under mild assumptions about how component-level attributes relate to system-level attributes, the approach is mathematically sound from a decision-theoretic perspective. The paper also includes a demonstration of the approach on the design of a hydraulic log splitter system using hydraulic component tradeoff models based on data about commercially-available components.
APA, Harvard, Vancouver, ISO, and other styles
9

Turcan, Ana, Olesea Borozan, Victor Ababii, Viorica Sudacevschi, and Silvia Munteanu. "Decision Making System based on Collaborative Agents." In 12th International Conference on Electronics, Communications and Computing. Technical University of Moldova, 2022. http://dx.doi.org/10.52326/ic-ecco.2022/ce.09.

Full text
Abstract:
In this paper are presented the results of research done in the system projecting and research for making informed decisions based on the collaborative Agents. The mathematical model used in this research had the goal to find an optimal solution in a multi-objective space by using methods inspired by nature, especially evolutional calculus algorithms. The calculus system’s architecture consists of two sets of Agents: agents that deliver data and information, and Agents that consume it. The interconnection process between Agents is a dynamic one which evolves in time and it determines the topology of the calculus system.
APA, Harvard, Vancouver, ISO, and other styles
10

Varsakelis, Christos, Moritz von Stosch, Sandrine Dessoy, and Alexander Pysik. "A mathematical model of decision making for investment in process modeling & simulation." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026684.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Decision making – Mathematical models"

1

Salazar, Alessandro Toledo, Matthew Medrano, Mathias Duque Medina, Julio Roa, and Jorge E. Pesantez. Enhancing Evacuation Warning Responsiveness: Exploring the Impact of Social Interactions through an Agent-Based Model Approach. Mineta Transportation Institute, June 2024. http://dx.doi.org/10.31979/mti.2024.2356.

Full text
Abstract:
Evacuations are the preferred response to human- or natural-caused disasters. The process often involves people deciding when and how to evacuate based on messages from local authorities. However, diverse opinions of the affected people may influence their decision to evacuate or to stay and see how the situation unfolds. This project applies an opinion dynamics concept to model the opinion and decision-making of people threatened by wildfire. To demonstrate how individual opinions evolve with time, the model applies an agent-based approach that includes the interaction between an agency sending an evacuation message and the affected population. There are three sources of information concerning the mathematical model of an opinion: the global broadcasting message, interaction of the agent with its social media network, and observations of neighbors’ actions. The opinion value of each agent leads to a decision to evacuate if it overcomes a resistance threshold. By combining sources of information, the results show that when global broadcasting is the only information available to agents, a decision to evacuate is unanimously reached after a short period. However, when social media interactions are included, there is a delay in reaching a unanimous agreement to evacuate. Furthermore, when social media interactions are replaced by observing the actions of neighbors, there is no agreement to evacuate among the agents, and most of them decide to stay and see how the situation progresses. This research project provides opportunities for planning and management of traffic and routes when an evacuation is expected but the number of people participating is unknown. The results provide valuable insights that could be applied as part of disaster-planning and other potentially life-saving measures.
APA, Harvard, Vancouver, ISO, and other styles
2

Klein, Gary A., Marvin L. Thordsen, and Roberta Calderwood. Descriptive Models of Military Decision Making. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada226884.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Boudreau, John W., Lee D. Dyer, and Sara L. Rynes. Utility Analysis Models for Personnel Decision Making. Fort Belvoir, VA: Defense Technical Information Center, March 1996. http://dx.doi.org/10.21236/ada312087.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Kondratenko, Victoria. On creation of the universal mathematical management decision making theory. PІDVODNІ TEHNOLOGІЇ, June 2019. http://dx.doi.org/10.31493/uwt1909.1201.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Black, Jon R. Models for Moral Decision-Making: Negotiating with Death,. Fort Belvoir, VA: Defense Technical Information Center, April 1995. http://dx.doi.org/10.21236/ada298392.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Blaha, Leslie M. Graph-based Models for Data and Decision Making. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada594536.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Tenenbaum, Joshua B., Leslie P. Kaelbling, Michael L. Littman, and David Wingate. Acquiring and Exploiting Rich Causal Models for Robust Decision Making. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada566219.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Baker, Joanna, Pamela Lattimore, and Ann Witte. An Empirical Assessment of Alternative Models of Risky Decision Making. Cambridge, MA: National Bureau of Economic Research, September 1988. http://dx.doi.org/10.3386/w2717.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Unal, Beyza, Julia Cournoyer, Calum Inverarity, and Yasmin Afina. Uncertainty and complexity in nuclear decision-making. Royal Institute of International Affairs, March 2022. http://dx.doi.org/10.55317/9781784135157.

Full text
Abstract:
Complex systems modelling is already implemented in critical policy areas such as climate change and health. It could also play an important role in the nuclear weapons sphere – by opening alternative pathways that may help mitigate risks of confrontation and escalation – but such modelling has yet to be fully embraced by policymakers in this community. By applying a complexity lens, policy- and decision-makers at all stages along the nuclear chain of command might better understand how their actions could have significant consequences for international security and peace. Nuclear decision-making is shaped by, and interacts with, the ever-changing international security environment and nuclear weapons policy. Tackling problems in the nuclear weapons policy field requires the implementation of ‘system of systems’ design principles, mathematical modelling approaches and multidisciplinary analysis. This research paper presents nuclear weapons decision-making as a complex endeavour, with individual decisions being influenced by multiple factors such as reasoning, intuition (gut feeling), biases and system-level noise. At a time of crisis, these factors may combine to cause risks of escalation. The authors draw on past examples of near nuclear use to examine decision-making in the nuclear context as a ‘wicked problem’, with multi-layered, interacting and constantly fluctuating elements.
APA, Harvard, Vancouver, ISO, and other styles
10

Richards, Whitman. Computational Models for Belief Revision, Group Decision-Making and Cultural Shifts. Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada567102.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Decision making – Mathematical models' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography