Annals of Operations Research

1997 - 2025

Current editor(s): Endre Boros

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Volume 325, month 6, 2023

Editorial: Big data and data science in sport pp. 1-7

Pierpaolo D’Urso, Livia De Giovanni and Tim Swartz

A robust method for clustering football players with mixed attributes pp. 9-36

Pierpaolo D’Urso, Livia Giovanni and Vincenzina Vitale

Clustering of variables methods and measurement models for soccer players’ performances pp. 37-56

Maurizio Carpita, Paola Pasca, Serena Arima and Enrico Ciavolino

Community detection in attributed networks for global transfer market pp. 57-83

G. P. Clemente and A. Cornaro

A rank-size approach to analyse soccer competitions and teams: the case of the Italian football league “Serie A" pp. 85-113

Valerio Ficcadenti, Roy Cerqueti and Ciro Hosseini Varde’i

Forecasting binary outcomes in soccer pp. 115-134

Raffaele Mattera

Betting market efficiency and prediction in binary choice models pp. 135-148

Ruud Koning and Renske Zijm

Influence of Red and Yellow cards on team performance in elite soccer pp. 149-165

Llorenç Badiella, Pedro Puig, Carlos Lago-Peñas and Martí Casals

Football tracking data: a copula-based hidden Markov model for classification of tactics in football pp. 167-183

Marius Ötting and Dimitris Karlis

Service quality in football tourism: an evaluation model based on online reviews and data envelopment analysis with linguistic distribution assessments pp. 185-218

Adjei Peter Darko, Decui Liang, Yinrunjie Zhang and Agbodah Kobina

An extension of correspondence analysis based on the multiple Taguchi’s index to evaluate the relationships between three categorical variables graphically: an application to the Italian football championship pp. 219-244

Antonello D’Ambra and Pietro Amenta

Does luck play a role in the determination of the rank positions in football leagues? A study of Europe’s ‘big five’ pp. 245-260

Sumit Sarkar and Sooraj Kamath

Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach pp. 261-288

Praveen Puram, Soumya Roy, Deepak Srivastav and Anand Gurumurthy

Optimization of team selection in fantasy cricket: a hybrid approach using recursive feature elimination and genetic algorithm pp. 289-317

Apurva Jha, Arpan Kumar Kar and Agam Gupta

Best strategy to win a match: an analytical approach using hybrid machine learning-clustering-association rule framework pp. 319-361

Praveen Ranjan Srivastava, Prajwal Eachempati, Ajay Kumar, Ashish Kumar Jha and Lalitha Dhamotharan

Complex networks for community detection of basketball players pp. 363-389

Alessandro Chessa, Pierpaolo D’Urso, Livia Giovanni, Vincenzina Vitale and Alfonso Gebbia

Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball pp. 391-418

Luca De Angelis and J Reade

A Bayesian network to analyse basketball players’ performances: a multivariate copula-based approach pp. 419-440

Pierpalo D’Urso, Livia Giovanni and Vincenzina Vitale

Measuring players’ importance in basketball using the generalized Shapley value pp. 441-465

Rodolfo Metulini and Giorgio Gnecco

Will more skills become a burden? The effect of positional ambiguity on player and team performance pp. 467-493

Jiangang Wang and Fanghong Liu

Spatial performance analysis in basketball with CART, random forest and extremely randomized trees pp. 495-519

Paola Zuccolotto, Marco Sandri and Marica Manisera

Filtering active moments in basketball games using data from players tracking systems pp. 521-538

Tullio Facchinetti, Rodolfo Metulini and Paola Zuccolotto

Result-based talent identification in road cycling: discovering the next Eddy Merckx pp. 539-556

David Van Bulck, Arthur Vande Weghe and Dries Goossens

Predicting the next Pogačar: a data analytical approach to detect young professional cycling talents pp. 557-588

Bram Janssens, Matthias Bogaert and Mathijs Maton

A hydraulic model outperforms work-balance models for predicting recovery kinetics from intermittent exercise pp. 589-613

Fabian C. Weigend, David C. Clarke, Oliver Obst and Jason Siegler

A new model for predicting the winner in tennis based on the eigenvector centrality pp. 615-632

Alberto Arcagni, Vincenzo Candila and Rosanna Grassi

The analysis of serve decisions in tennis using Bayesian hierarchical models pp. 633-648

Peter Tea and Tim B. Swartz

Analysing a built-in advantage in asymmetric darts contests using causal machine learning pp. 649-679

Daniel Goller

Estimation of player aging curves using regression and imputation pp. 681-699

Michael Schuckers, Michael Lopez and Brian Macdonald

Dyadic analysis for multi-block data in sport surveys analytics pp. 701-714

Maria Iannario, Rosaria Romano and Domenico Vistocco

Sports analytics in the NFL: classifying the winner of the superbowl pp. 715-730

Yazan F. Roumani

Simulation-based decision making in the NFL using NFLSimulatoR pp. 731-742

Benjamin Williams, Will Palmquist and Ryan Elmore

Who’s watching? Classifying sports viewers on social live streaming services pp. 743-765

Haoyu Liu, Kim Hua Tan and Xianfeng Wu

Classification, sorting and clustering methods based on multiple criteria: recent trends pp. 767-770

Salvatore Corrente, Yves Smet, Michalis Doumpos, Salvatore Greco and Constantin Zopounidis

Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda pp. 771-793

Sarah Ben Amor, Belaid Fateh, Ramzi Benkraiem, Boumediene Ramdani and Khaled Guesmi

A MIP-based approach to learn MR-Sort models with single-peaked preferences pp. 795-817

Pegdwendé Minoungou, Vincent Mousseau, Wassila Ouerdane and Paolo Scotton

A theoretical look at ordinal classification methods based on comparing actions with limiting boundaries between adjacent classes pp. 819-843

Eduardo Fernández, José Rui Figueira and Jorge Navarro

Dynamic-R: a “challenge-free” method for rating problem statements pp. 845-873

Oussama Raboun, Eric Chojnacki and Alexis Tsoukiàs

ORESTE-SORT: a novel multiple criteria sorting method for sorting port group competitiveness pp. 875-909

Jindong Qin, Yingying Liang, Luis Martinez, Alessio Ishizaka and Witold Pedrycz

Consensus-based TOPSIS-Sort-B for multi-criteria sorting in the context of group decision-making pp. 911-938

Zhen Zhang and Zhuolin Li

External validity of multi-criteria preference data obtained from non-random sampling: measuring cohesiveness within and between groups pp. 939-949

Saeideh Babashahi, Paul Hansen and Ronald Peeters

Evaluating scales for pairwise comparisons pp. 951-965

Bice Cavallo and Alessio Ishizaka

A comparison between TOPSIS and SAW methods pp. 967-994

Francesco Ciardiello and Andrea Genovese

Data-driven decision model based on local two-stage weighted ensemble learning pp. 995-1028

Che Xu, Wenjun Chang and Weiyong Liu

Enhancing the predictive performance of ensemble models through novel multi-objective strategies: evidence from credit risk and business model innovation survey data pp. 1029-1047

Paritosh Jha and Marco Cucculelli

DIKEDOC: a multicriteria methodology to organise and communicate knowledge pp. 1049-1082

Maria Franca Norese, Diana Rolando and Rocco Curto

Analyzing causes of urban blight using cognitive mapping and DEMATEL pp. 1083-1110

Bruno M. B. Pinto, Fernando A. F. Ferreira, Ronald W. Spahr, Mark A. Sunderman and Leandro F. Pereira

A multi-criteria decision support model for adopting energy efficiency technologies in the iron and steel industry pp. 1111-1132

Hongtao Ren, Wenji Zhou, Marek Makowski, Shaohui Zhang, Yadong Yu and Tieju Ma

A multi-criteria decision making approach to evaluating the performance of Indian railway zones pp. 1133-1168

Esther Jose, Puneet Agarwal, Jun Zhuang and Jose Swaminathan

Interactive portfolio selection involving multicriteria sorting models pp. 1169-1195

Ali Tlili, Oumaima Khaled, Vincent Mousseau and Wassila Ouerdane

Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C pp. 1197-1229

Pranith Kumar Roy, Krishnendu Shaw and Alessio Ishizaka

Social traits and credit card default: a two-stage prediction framework pp. 1231-1253

Chrysovalantis Gaganis, Panagiota Papadimitri, Fotios Pasiouras and Menelaos Tasiou

Identifying household finance heterogeneity via deep clustering pp. 1255-1289

Yoontae Hwang, Yongjae Lee and Frank J. Fabozzi

Designing topological data to forecast bankruptcy using convolutional neural networks pp. 1291-1332

Philippe Jardin