Civil Engineering and Symmetry

A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimisation methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers, and, after a rigorous peer-review process, eight papers have been published in the current special issue. The articles in this issue demonstrate how solutions in civil engineering, which bring economic, social and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. The methods and application case studies are shortly described further in the editorial.

[1]  Qingxia Huang,et al.  Evaluation of Airplane Boarding/Deboarding Strategies: A Surrogate Experimental Test , 2017, Symmetry.

[2]  Zydrune Morkunaite,et al.  A hybrid multiple criteria evaluation method of ranking of cultural heritage structures for renovation projects , 2017 .

[3]  Jurgita Antucheviciene,et al.  A Model for Shovel Capital Cost Estimation, Using a Hybrid Model of Multivariate Regression and Neural Networks , 2017, Symmetry.

[4]  Gordan Stojic,et al.  Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company , 2017, Symmetry.

[5]  Edmundas Kazimieras Zavadskas,et al.  A Hybrid MCDM Technique for Risk Management in Construction Projects , 2018, Symmetry.

[6]  Jolanta Dzwierzynska,et al.  Pre-Rationalized Parametric Designing of Roof Shells Formed by Repetitive Modules of Catalan Surfaces , 2018, Symmetry.

[7]  Abdullah Cemil Ilce,et al.  AN INTEGRATED INTELLIGENT SYSTEM FOR CONSTRUCTION INDUSTRY: A CASE STUDY OF RAISED FLOOR MATERIAL , 2018, Technological and Economic Development of Economy.

[8]  Jurgita Antucheviciene,et al.  Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues , 2016 .

[9]  Edmundas Kazimieras Zavadskas,et al.  The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods , 2017, Symmetry.

[10]  Vinod Sharma,et al.  A review on the applications of neuro-fuzzy systems in business , 2018, Artificial Intelligence Review.

[11]  Kannan Govindan,et al.  A review of reverse logistics and closed-loop supply chains: a Journal of Cleaner Production focus , 2017 .

[12]  Jurgita Antucheviciene,et al.  Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research , 2015 .

[13]  Edmundas Kazimieras Zavadskas,et al.  Decision Making Methods Based on Fuzzy Aggregation Operators: Three Decades Review from 1986 to 2017 , 2018, Int. J. Inf. Technol. Decis. Mak..

[14]  Jurgita Antucheviciene,et al.  Supplier evaluation and selection in fuzzy environments: a review of MADM approaches , 2017 .

[15]  Dejian Yu,et al.  Hesitant fuzzy multi-criteria decision making methods based on Heronian mean , 2015 .

[16]  Abbas Mardani,et al.  Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014 , 2015 .

[17]  Jurgita Antucheviciene,et al.  HYBRID MULTIPLE CRITERIA DECISION MAKING METHODS: A REVIEW OF APPLICATIONS IN ENGINEERING , 2016 .

[18]  Romualdas Bausys,et al.  Garage location selection for residential house by WASPAS-SVNS method , 2017 .

[19]  Edmundas Kazimieras Zavadskas,et al.  Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’ , 2018 .

[20]  Florentin Smarandache,et al.  Systematic Review of Decision Making Algorithms in Extended Neutrosophic Sets , 2018, Symmetry.

[21]  Edmundas Kazimieras Zavadskas,et al.  Application of multiple-criteria decision-making techniques and approaches to evaluating of service quality: a systematic review of the literature , 2015 .

[22]  Edmundas Kazimieras Zavadskas,et al.  Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 , 2015, Expert Syst. Appl..

[23]  Jurgita Antucheviciene,et al.  Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature , 2017, Complex..

[24]  Simona Dzitac,et al.  Tool-Wear Analysis Using Image Processing of the Tool Flank , 2017, Symmetry.

[25]  Cengiz Kahraman,et al.  Fuzzy Multicriteria Decision-Making: A Literature Review , 2015, Int. J. Comput. Intell. Syst..

[26]  Omolbanin Yazdanbakhsh,et al.  A systematic review of complex fuzzy sets and logic , 2017, Fuzzy Sets Syst..

[27]  Edmundas Kazimieras Zavadskas,et al.  Multiple criteria decision-making techniques in transportation systems: a systematic review of the state of the art literature , 2015 .

[28]  Kannan Govindan,et al.  Maturity models in supply chain sustainability: A systematic literature review , 2017 .

[29]  Edmundas Kazimieras Zavadskas,et al.  A Novel Approach for Evaluation of Projects Using an Interval-Valued Fuzzy Additive Ratio Assessment (ARAS) Method: A Case Study of Oil and Gas Well Drilling Projects , 2018, Symmetry.

[30]  Edmundas Kazimieras Zavadskas,et al.  Ranking of Bridge Design Alternatives: A TOPSIS-FADR Method , 2018 .