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INFORMATION SCIENCES 2018年 460卷 401-415页

作者： Ben Amor, Nahla Dubois, Didier Gouider, Hela Prade, Henri ISG Tunis LARODEC 41 Rue Liberte Le Bardo 2000 Tunisia UPS CNRS IRIT 118 Route Narbonne F-31062 Toulouse 09 France

This paper studies the use of product-based possibilistic networks for representing preferences in multidimensional decision problems. This approach uses symbolic possibility weights and defines a partial preference order among solutions to a set of conditional preference statements on the domains of discrete decision variables. In the case of Boolean decision variables, this partial ordering is shown to be consistent with the preference ordering induced by the ceteris paribus assumption adopted in CP-nets. Namely, by completing the possibilistic net ordering with suitable constraints between products of symbolic weights, all CP-net preferences can be recovered. Computing procedures for comparing solutions are provided. The flexibility and representational power of the approach is stressed. (C) 2017 Elsevier Inc. All rights reserved.

关键词： preference modeling Pareto ordering Graphical models Possibility theory

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Strategic Majoritarian Voting with Propositional Goals 18

Strategic Majoritarian Voting with Propositional Goals

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18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS)

作者： Novaro, Arianna Grandi, Umberto Longin, Dominique Lorini, Emiliano Univ Toulouse IRIT Toulouse France CNRS IRIT Toulouse France

ISBN: (纸本)9781450363099

We study strategic behaviour in goal-based voting, where agents take a collective decision over multiple binary issues based on their individual goals (expressed as propositional formulas). We focus on three generalizations of the issue-wise majority rule, and study their resistance to manipulability in the general case, as well as for restricted languages for goals. We also study how computationally hard it is for an agent to know if they can profitably manipulate.

关键词： Computational Social Choice Strategic Voting Knowledge Representation preference modeling

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modeling online user product interest for recommender systems and ergonomics studies

Modeling online user product interest for recommender system...

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5th World Conference on Information Systems and Technologies (WorldCIST)

作者： Sulikowski, Piotr Zdziebko, Tomasz Turzynski, Dominik West Pomeranian Univ Technol Fac Comp Sci & Informat Technol Ul Zolnierska 49 PL-71210 Szczecin Poland Univ Szczecin Fac Econ & Management Ul Mickiewicza 64 PL-71101 Szczecin Poland Pomeranian Med Univ Fac Med Sci Ul Zolnierska 48 PL-71210 Szczecin Poland

This paper presents use of a tool built to monitor human-website interaction without the need for eye tracking. Behavior indicators calculated from data collected by the tool can be used for many purposes such as web ergonomics enhancement, content adaptation, and, in particular, recommender systems. A random-forests-based modeling approach is shown as a generalization for earlier decision-tree classification approach. Results of a usability survey conducted within the study are presented.

关键词： behavior indicators computed indicators ergonomics enhancement human-computer interaction preference modeling recommender systems

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Comparison of Travel Mode Choice Between Taxi and Subway Regarding Traveling Convenience

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Tsinghua Science and Technology 2018年第2期23卷 135-144页

作者： Li Li Shuofeng Wang Meng Li Jiyuan Tan Department of Automation BNRist Tsinghua University Department of Automation Tsinghua University Department of Civil Engineering Tsinghua University Beijing Key Laboratory of Urban Road Intelligent Traffic Control North China University of Technology

In this study, we investigate travel mode choice behavior between taxi and subway with an emphasis on the influence of traveling convenience. In the first stage, we examine the Origin-Destination(OD) points of Beijing taxi trips and compare these locations with the respective nearest subway station. Statistics reveal several interesting conclusions. First, for approximately 24.89% of all trips, no convenient subway connections exist between the OD pairs. As such, a taxi becomes the only viable choice. Second, for 80.23% of the remaining 75.11%of trips(equivalent to 60.26% of all trips), access distance from either the origin or the destination to the nearest subway station is greater than 500 meters. This phenomenon indicates that walking distance plays an important role in travel mode choice. In the second stage, we examine groups of taxi trips with similar travel distances and travel times to reveal common features. We establish a preference rule in terms of travel distance and travel *** determines whether an individual driver will take a taxi or the subway, using a pairwise comparison-based preference regression model. Tests indicate that more than 95% of taxi trips can be correctly predicted by this preference rule. This conclusion reveals that traveling convenience dominates the travel model choice between taxi and subway. All these findings shed light on the factors that influence travel mode choice behavior.

关键词： travel mode choice behaviors taxi subway preference modeling

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A dynamic decision support system for evaluating peer-to-peer rental accommodations in the sharing economy

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INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT 2020年 91卷 102653-102653页

作者： Tavana, Madjid Mousavi, Sayed Mohammad Hossein Mina, Hassan Salehian, Farhad La Salle Univ Business Syst & Analyt Dept Distinguished Chair Business Analyt Philadelphia PA 19141 USA Univ Paderborn Business Informat Syst Dept Fac Business Adm & Econ D-33098 Paderborn Germany Univ Tehran Dept Management Tehran Iran Univ Tehran Sch Ind Engn Coll Engn Tehran Iran

Accommodation accounts for one of the biggest expenses while traveling, and deciding where to stay is often confusing and time-consuming. Fortunately, travelers have more options than ever before because of the substantial growth of the peer-to-peer (P2P) short-term rentals in the sharing economy. Designing a user-friendly system that considers travelers' preferences in choosing the right accommodation can enhance customer satisfaction and increase profitability. We propose a dynamic decision support system based on the theory of multicriteria decision making to assist travelers in personalizing their preferences and finding quality accommodations in the dominant P2P market that aligns with those preferences. We use the fuzzy best-worst method to measure the intensity of the user's preferences and the fuzzy technique for order of preference by similarity to the ideal solution (TOPSIS) to score and evaluate alternative P2P rental properties. We present a case study in the P2P rental accommodations industry to demonstrate the applicability of the method proposed in this study.

关键词： Peer-to-peer rental accommodation Sharing economy preference modeling Best-worst method TOPSIS Fuzzy logic

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Interactive Multiobjective Optimisation: preference Changes and Algorithm Responsiveness 18

Interactive Multiobjective Optimisation: Preference Changes ...

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Genetic and Evolutionary Computation Conference (GECCO)

作者： Taylor, Kendall Li, Xiaodong RMIT Univ Sch Sci Melbourne Vic Australia

ISBN: (纸本)9781450356183

For optimisation problems with multiple objectives and large search spaces, it may not be feasible to find all optimal solutions. Even if possible, a decision maker (DM) is only interested in a small number of these solutions. Incorporating a DM's solution preferences into the process reduces the problem's search space by focusing only on regions of interest. Allowing a DM to interact and alter their preferences during a single optimisation run facilitates learning and mistake correction, and improves the search for desired solutions. In this paper, we apply an interactive framework to four leading multi-objective evolutionary algorithms (MOEAs), which use reference points to model preferences. Furthermore, we propose a new performance metric for algorithm responsiveness to preference changes, and evaluate these algorithms using this metric. Interactive algorithms must respond to changes in DM preferences and we show how our new metric is able to differentiate between the four algorithms when run on the ZDT suite of test problems. Finally, we identify characteristics of these methods that determine their level of response to change.

关键词： Interactive optimisation preference modeling Multiobjective optimisation Evolutionary computation

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Fuzzy Positive Primitive Formulas 15th

Fuzzy Positive Primitive Formulas

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15th International Conference on modeling Decisions for Artificial Intelligence (MDAI)

作者： Dellunde, Pilar Univ Autonoma Barcelona Barcelona Spain Barcelona Grad Sch Math Barcelona Spain IIIA CSIC Artificial Intelligence Res Inst Barcelona Spain

ISBN: (纸本)9783030002022;9783030002015

Can non-classical logic contribute to the analysis of complexity in computer science? In this paper, we give a step towards the solution of this open problem, taking a logical model-theoretic approach to the analysis of complexity in fuzzy constraint satisfaction. We study fuzzy positive-primitive sentences, and we present an algebraic characterization of classes axiomatized by this kind of sentences in terms of homomorphisms and finite direct products. The ultimate goal is to study the expressiveness and reasoning mechanisms of non-classical languages, with respect to constraint satisfaction problems and, in general, in modelling decision scenarios.

关键词： Fuzzy constraint satisfaction preference modeling Fuzzy logics Model theory

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Applying Suitability Distributions in a Geological Context 17th

Applying Suitability Distributions in a Geological Context

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17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU)

作者： De Mol, Robin De Tre, Guy Univ Ghent Fac Engn & Architecture Dept Telecommun & Informat Proc Databases Documents & Content Management Res Grp Sint Pietersnieuwstr 41 B-9000 Ghent Belgium

ISBN: (纸本)9783319914732;9783319914725

Some industrial purposes require specific marine resources. Companies rely on information from resource models to decide where to go and what the cost will be to perform the required extractions. Such models, however, are typical examples of imprecise data sets wherein most data is estimated rather than measured. This is especially true for marine resource models, for which acquiring real data samples is a long and costly endeavor. Consequently, such models are largely computed by interpolating data from a small set of measurements. In this paper, we discuss how we have applied fuzzy set theory on a real data set to deal with these issues. It is further explained how the resulting fuzzy model can be queried so it may be used in a decision making context. To evaluate queries, we use a novel preference modeling and evaluation technique specifically suited for dealing with uncertain data, based on suitability distributions. The technique is illustrated by evaluating an example query and discussing the results.

关键词： Imperfect information Decision support preference modeling Suitability distributions

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modeling online user product interest for recommender systems and ergonomics studies

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2019年第22期31卷

关键词： behavior indicators computed indicators ergonomics enhancement human-computer interaction preference modeling recommender systems

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Strategic Majoritarian Voting with Propositional Goals 19

Strategic Majoritarian Voting with Propositional Goals

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Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems

作者： Arianna Novaro Umberto Grandi Dominique Longin Emiliano Lorini IRIT University of Toulouse Toulouse France University of Toulouse IRIT Toulouse France CNRS Universite Paul Sabatier Toulouse III Institut de Recherche en Informatique de Toulouse (IRIT) Toulouse France IRIT-CNRS Toulouse France

ISBN: (纸本)9781450363099

关键词： computational social choice strategic voting preference modeling knowledge representation

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