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Classical Decision Theory provides a normative framework for representing and reasoning about complex preferences. Straightforward application of this theory to automate decision making is difficult due to high elicitation cost. In response…

Artificial Intelligence · Computer Science 2013-01-30 Vu A. Ha , Peter Haddawy

This paper presents a new methodology that combines a multiple criteria sorting or ranking method with a project portfolio selection procedure. The multicriteria method permits to compare projects in terms of their priority assessed on the…

Computers and Society · Computer Science 2022-06-13 Maria Barbati , Josè Rui Figueira , Salvatore Greco , Alessio Ishizaka , Simona Panaro

We develop a full-fledged analysis of an algorithmic decision process that, in a multialternative choice problem, produces computable choice probabilities and expected decision times.

Theoretical Economics · Economics 2023-05-08 Carlo Baldassi , Fabio Maccheroni , Massimo Marinacci , Marco Pirazzini

The features of a logically sound approach to a theory of statistical reasoning are discussed. A particular approach that satisfies these criteria is reviewed. This is seen to involve selection of a model, model checking, elicitation of a…

Statistics Theory · Mathematics 2018-05-09 Luai Al-Labadi , Zeynep Baskurt , Michael Evans

As recommendation is essentially a comparative (or ranking) process, a good explanation should illustrate to users why an item is believed to be better than another, i.e., comparative explanations about the recommended items. Ideally, after…

Information Retrieval · Computer Science 2022-04-26 Aobo Yang , Nan Wang , Renqin Cai , Hongbo Deng , Hongning Wang

In this paper, a new kind of soft sets related with some common decision making problems in real life called central soft sets is introduced. Properties of some basic operations on central soft sets are shown. It is investigated that some…

Logic in Computer Science · Computer Science 2015-06-10 Xuechong Guan

Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily available scholarly data enable the exploration of data-driven…

Social and Information Networks · Computer Science 2020-08-11 Jie Hou , Hanxiao Pan , Teng Guo , Ivan Lee , Xiangjie Kong , Feng Xia

The peer merit review of research proposals has been the major mechanism to decide grant awards. Nowadays, research proposals have become increasingly interdisciplinary. It has been a longstanding challenge to assign proposals to…

Computation and Language · Computer Science 2022-03-22 Meng Xiao , Ziyue Qiao , Yanjie Fu , Hao Dong , Yi Du , Pengyang Wang , Dong Li , Yuanchun Zhou

Hardware, systems and algorithms research communities have historically had different incentive structures and fluctuating motivation to engage with each other explicitly. This historical treatment is odd given that hardware and software…

Computers and Society · Computer Science 2020-09-23 Sara Hooker

Background. Software Engineering (SE) researchers extensively perform experiments with human subjects. Well-defined samples are required to ensure external validity. Samples are selected \textit{purposely} or by \textit{convenience},…

Software Engineering · Computer Science 2021-08-30 Valentina Lenarduzzi , Oscar Dieste , Davide Fucci , Sira Vegas

Scientific knowledge and advances are a cornerstone of modern society. They improve our understanding of the world we live in and help us navigate global challenges including emerging infectious diseases, climate change and the biodiversity…

The compass of Cloud infrastructure services advances steadily leaving users in the agony of choice. To be able to select the best mix of service offering from an abundance of possibilities, users must consider complex dependencies and…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-18 Miranda Zhang , Rajiv Ranjan , Armin Haller , Dimitrios Georgakopoulos , Peter Strazdins

The problem of pattern selection arises when the evolution equations have many solutions, whereas observed patterns constitute a much more restricted set. An approach is advanced for treating the problem of pattern selection by defining the…

Condensed Matter · Physics 2009-11-07 V. I. Yukalov

Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broad scientific community. A recommender system uses data on…

Information Retrieval · Computer Science 2017-02-22 Fei Yu , An Zeng , Sebastien Gillard , Matus Medo

Quantifying success in science plays a key role in guiding funding allocations, recruitment decisions, and rewards. Recently, a significant amount of progresses have been made towards quantifying success in science. This lack of detailed…

Digital Libraries · Computer Science 2020-08-12 Xiaomei Bai , Hanxiao Pan , Jie Hou , Teng Guo , Ivan Lee , Feng Xia

Scientific fact-checking aims to determine the veracity of scientific claims by retrieving and analysing evidence from research literature. The problem is inherently more complex than general fact-checking since it must accommodate the…

Information Retrieval · Computer Science 2025-08-18 Xingyu Deng , Xi Wang , Mark Stevenson

Recent trends in academics show an increase in enrollment levels in higher education Predominantly in Doctoral programmes where individual scholars institutes and supervisors play the key roles The human factor at receiving end of academic…

General Economics · Economics 2021-07-02 Kaibalyapati Mishra

Recommender systems are an essential tool to relieve the information overload challenge and play an important role in people's daily lives. Since recommendations involve allocations of social resources (e.g., job recommendation), an…

Information Retrieval · Computer Science 2022-07-12 Yifan Wang , Weizhi Ma , Min Zhang , Yiqun Liu , Shaoping Ma

The National Science Foundation (NSF) will be experimenting with a new distributed approach to reviewing proposals, whereby a group of principal investigators (PIs) or proposers in a subfield act as reviewers for the proposals submitted by…

Computer Science and Game Theory · Computer Science 2013-07-25 Parinaz Naghizadeh , Mingyan Liu

People care about decision outcomes and how decisions get made, both when making decisions and reflecting on decisions. But formalizing the full range of normative concerns that drive decisions is an open challenge. We introduce Axiomatic…

Artificial Intelligence · Computer Science 2026-02-11 Ben Abramowitz , Nicholas Mattei