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Bipolar Preference Problems: Framework, Properties and Solving Techniques [chapter]

Stefano Bistarelli, Maria Silvia Pini, Francesca Rossi, K. Brent Venable
Lecture Notes in Computer Science  
Real-life problems present several kinds of preferences. We focus on problems with both positive and negative preferences, that we call bipolar preference problems.  ...  Finally, we extend the notion of arc consistency to bipolar problems, and we show how branch and bound (with or without constraint propagation) can be easily adapted to solve such problems.  ...  Acknowledgements This work has been supported by Italian MIUR PRIN project "Constraints and Preferences" (n. 2005015491).  ... 
doi:10.1007/978-3-540-73817-6_5 dblp:conf/csclp/BistarelliPRV06 fatcat:mep7nhxcqbfmvkm5sadjzhifdm

From soft constraints to bipolar preferences: modelling framework and solving issues

Stefano Bistarelli, Maria Silvia Pini, Francesca Rossi, K. Brent Venable
2010 Journal of experimental and theoretical artificial intelligence (Print)  
Real-life problems present several kinds of preferences. We focus on problems with both positive and negative preferences, that we call bipolar preference problems.  ...  Finally, we extend the notion of arc consistency to bipolar problems, and we show how branch and bound (with or without constraint propagation) can be easily adapted to solve such problems.  ...  Acknowledgements This work has been supported by Italian MIUR PRIN project "Constraints and Preferences" (n. 2005015491).  ... 
doi:10.1080/09528130903010212 fatcat:cavhnqabxbf3tlbxsy7fwh2zki

Applications of Soft Set in Decision Making Problems

B.V.S.T. Sai
2020 Global Journal of Pure and Applied Mathematics  
This analytical study reveals that the proposed framework is useful to solve real world uncertainty problems.  ...  They developed novel approaches to decision-making including TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), choice value and L-choice value based on hesitant fuzzy N-soft sets  ...  ACKNOWLEDGMENTS The author expresses his gratitude and indebtedness to Prof.N.V.E.S.Murthy and Prof.P.D.N.Srinivasu for their immeasurable support and abundant advice in completing this paper.  ... 
doi:10.37622/gjpam/16.2.2020.305-324 fatcat:rntj66shtzanrol7rwiavneaim

Kolb's Learning Style Inventory-1985: Validity issues and relations with metacognitive knowledge about problem-solving strategies

Panayiota Metallidou, Maria Platsidou
2008 Learning and Individual Differences  
and (c) possible relations between the participants' learning styles and their metacognitive knowledge about the frequency of using various problem-solving strategies.  ...  , practical and study problems).  ...  Brainstorming has been developed as a technique for generating new ideas during the problem-solving process in a non-evaluative setting.  ... 
doi:10.1016/j.lindif.2007.11.001 fatcat:2neinmf53jdgpfetgzrvqfrqta

Correlation Coefficient Measures of Interval Bipolar Neutrosophic Sets for Solving Multi-Attribute Decision Making Problems

Surapati Pramanik, Partha Pratim Dey, Florentin Smarandache
2018 Figshare  
Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent  ...  In bipolar neutrosophic environment, Dey et al. [26] developed a MADM approach based on technique for order of preference by similarity to ideal solution (TOPSIS) strategy.  ...  We have solved an investment problem with interval bipolar neutrosophic information.  ... 
doi:10.6084/m9.figshare.7048055.v1 fatcat:gq2wefrm2zegxbuo2rgrhwt3ee

Soft constraint problems with uncontrollable variables

Maria Silvia Pini, Francesca Rossi, Kristen Brent Venable
2010 Journal of experimental and theoretical artificial intelligence (Print)  
To tackle such problems, we adopt an existing approach that eliminates the uncertain part of the problem while adding some constraints in the remaining part, and then solves the resulting problem.  ...  Preferences and uncertainty are common in many real-life problems. In this paper we consider preferences modelled via soft constraints, that allow for the representation of quantitative preferences.  ...  Acknowledgment We would like to thank S.A. and M. R. (abbreviated for anonymity) for their relevant contribution to the experimental part of this paper.  ... 
doi:10.1080/09528131003712962 fatcat:36yiqbgxwzg7dmuxkx5muycxnq

Preliminary Results on the Modeling of System Level Diagnosis Problems with Abstract Argumentation

Stefano Bistarelli, Antonio Caruso
2018 Italian Conference on Theoretical Computer Science  
Abstract Argumentation is a framework used in AI to reason about belief and valid conclusion among a network of conflicting arguments, it is used by Intelligent Agents to take decisions.  ...  The collection of test results is called the syndrome of the system; the goal of the diagnosis is to provide algorithms and formal techniques to identify all faulty nodes correctly under various fault  ...  The above problem can be solved using two different approaches.  ... 
dblp:conf/ictcs/BistarelliC18 fatcat:tjdmew36lbauppjetkqwtwak6e

Quadripartitioned Single Valued Neutrosophic Pythagorean Dombi Aggregate Operators in MCDM Problems

Somen Debnath
2021 Zenodo  
The present paper aims to study Dombi operators and to establish some new Dombi weight aggregate operators and develop some properties under QSVNPN environment for solving multi-criteria decision-making  ...  Then we define the score and accuracy functions for ranking the QSVNPNs to choose the best-preferred alternative that goes through under a set of certain criteria.  ...  So, this type of phenomenon cannot be defined by FS and IFS. We need another powerful tool that can easily solve this problem.  ... 
doi:10.5281/zenodo.5553507 fatcat:pivm2icqwbautdnpccj56plx2m

Methods for solving reasoning problems in abstract argumentation – A survey

Günther Charwat, Wolfgang Dvořák, Sarah A. Gaggl, Johannes P. Wallner, Stefan Woltran
2015 Artificial Intelligence  
In this survey, we give an overview on different methods for solving reasoning problems in abstract argumentation and compare their particular features.  ...  This calls for advanced techniques when it comes to implementation issues, a challenge which has been recently faced from different angles.  ...  Acknowledgements This work has been supported by the Vienna Science and Technology Fund (WWTF) under grant ICT08-028, by the Austrian Science Fund (FWF): I1102, Y698 and P20704, and by the Vienna University  ... 
doi:10.1016/j.artint.2014.11.008 pmid:25737590 pmcid:PMC4318991 fatcat:qrw6bic4vjc5zdqkvi5tlhcs7m

Problems for Judgment and Decision Making

R. Hastie
2001 Annual Review of Psychology  
This review examines recent developments during the past 5 years in the field of judgment and decision making, written in the form of a list of 16 research problems.  ...  Many of the problems involve natural extensions of traditional, originally rational, theories of decision making.  ...  ACKNOWLEDGMENTS Preparation of this manuscript was supported by funds from the National Science Foundation (SBR-9816458) and the National Institute of Mental Health (R01 MH58362).  ... 
doi:10.1146/annurev.psych.52.1.653 pmid:11148321 fatcat:ntfwwzxynjgblkc4kqwm6n55ju

A new algorithm for solving linear programming problems with bipolar fuzzy relation equation constraints

S. Aliannezhadi, A. Abbasi Molai
2021 Iranian journal of numerical analysis and optimization  
Moreover, a modified branch-and-bound method based on a value matrix is proposed to solve the reduced problem.  ...  A new algorithm is finally designed to solve the problem based on the conditions and modified branch-and-bound method. The algorithm is compared to the methods in other papers to show its efficiency.  ...  Acknowledgements Authors are grateful to the anonymous referees and editor for their constructive comments.  ... 
doi:10.22067/ijnao.2021.67046.0 doaj:29466b466ddf4ae2a83903c8054996e7 fatcat:egm34tb4ajckjjsg24shqxieby

Problem Solving Styles, Approaches to Learning and Academic Performance of Spanish Accounting Students: An Exploratory Study of Profiles and Relationships

Jose Luis Arquero, Jose Antonio Donoso
2019 Educade: Revista de Educación en Contabilidad, Finanzas y Administración de Empresas  
The instrument consists of both the short version of the Study Process Questionnaire (SPQ; Fox et al, 2001) and the Problem Solving Style Questionnaire (PSSQ, Romero et al, 1992).  ...  Entwistle Students' Approaches to Learning framework and Kolb's Experiential Learning Model has been widely used in higher education.  ...  Romero et al (1992) developed a new instrument, the Problem Solving Style Questionnaire (PSSQ) also grounded in ELM, eliminating the ipsativity problem raised by Stout and Ruble (1994) and showing adequate  ... 
doi:10.12795/educade.2019.i10.02 fatcat:djuc24rt6nfy5poeuv7jdymx4q

Modelling and Discretization of Circuit Problems [chapter]

Michael Günther, Uwe Feldmann, Jan ter Maten
2005 Handbook of Numerical Analysis  
problems with timestep control are solved.  ...  However, this will yield singularly perturbed problems, which will not at all be preferable to DAE models in numerical respect.  ... 
doi:10.1016/s1570-8659(04)13006-8 fatcat:h3l2jw323rbnbdz7y5wec3zitm

Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties

Hsu-Shih Shih, Anna M. Gil-Lafuente
2021 Mathematical Problems in Engineering  
We also derive 6 properties to illustrate the effects of threshold changes on preference changes.  ...  Three typical combinations are characterized that reflect conservative, balanced, and aggressive group preferences.  ...  To compare different algorithms, it is interesting to find the most efficient one for solving a problem [93] .  ... 
doi:10.1155/2021/5594074 fatcat:j5tszqvwzjb7rbg35qyf2jafdy

Perceived relevance of university physics problems by pre-service physics teachers: personal constructs

Joost Massolt, Andreas Borowski
2020 International Journal of Science Education  
Nine physics problems were discussed with regards to their perceived relevance and with regards to problem properties that distinguish these problems from each other.  ...  Physics problems that are based on these properties should therefore potentially have a higher perceived relevance, which can have a positive effect on the motivation of the pre-service teachers who solve  ...  Such a problem is, with regards to perceived relevance, preferred over a problem where a mere executing ('plug and chug') is sufficient for solving a problem.  ... 
doi:10.1080/09500693.2019.1705424 fatcat:vv33z5qwz5cxlgiaflglby2444
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