scholarly journals A Collaborative Stakeholder Decision-Making Approach for Sustainable Urban Logistics

2019 ◽  
Vol 11 (1) ◽  
pp. 234 ◽  
Author(s):  
Ivana Semanjski ◽  
Sidharta Gautama
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Route Planning ◽  
Traffic Sign ◽  
Suggested Approach ◽  
Local Contexts ◽  
Local Stakeholders ◽  
Points Of View ◽  
High Level

Cities strongly rely on efficient urban logistics to ensure their attractiveness, quality of life, and economic development. In the same time, they strive to ensure livable and safe environments around its road network, where the increased presence of light and heavy goods vehicles raises questions of regarding safety and environmental impacts. Recent literature has well-recognized the need to consider different stakeholders’ perspectives on these issues, in order to achieve desired outcomes. In this paper, we introduce a collaborative stakeholders’ decision-making approach for sustainable urban logistics, and demonstrate its applicability on a real-life example. The suggested approach extends existing route planning approaches by considering route sustainability as a part of an arc’s traversal cost. The integration of route sustainability is based on the adoption of a multi-criterial decision-making approach, with the possibility of including different stakeholders’ points of view, and evaluating the sustainability cost concerning the route’s spatial context. To demonstrate the applicability of the suggested approach, we extract the route sustainability cost from the traffic sign database, and implement the findings on a real-life example. Furthermore, the suggested approach exhibits a high level of transferability to various local contexts, where local stakeholders might have a different view on the route sustainability than is the case in our example.

scholarly journals ACO with Intuitionistic Fuzzy Pheromone Updating Applied on Multiple-Constraint Knapsack Problem

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1456
Author(s):  
Stefka Fidanova ◽  
Krassimir Todorov Atanassov
Keyword(s):  
Decision Making ◽  
Knapsack Problem ◽  
Propositional Logic ◽  
Optimization Problems ◽  
Real Life ◽  
Combinatorial Optimization Problems ◽  
Intuitionistic Fuzzy ◽  
Life Problems ◽  
Multiple Constraint

Some of industrial and real life problems are difficult to be solved by traditional methods, because they need exponential number of calculations. As an example, we can mention decision-making problems. They can be defined as optimization problems. Ant Colony Optimization (ACO) is between the best methods, that solves combinatorial optimization problems. The method mimics behavior of the ants in the nature, when they look for a food. One of the algorithm parameters is called pheromone, and it is updated every iteration according quality of the achieved solutions. The intuitionistic fuzzy (propositional) logic was introduced as an extension of Zadeh’s fuzzy logic. In it, each proposition is estimated by two values: degree of validity and degree of non-validity. In this paper, we propose two variants of intuitionistic fuzzy pheromone updating. We apply our ideas on Multiple-Constraint Knapsack Problem (MKP) and compare achieved results with traditional ACO.

scholarly journals Dense-RefineDet for Traffic Sign Detection and Classification

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6570
Author(s):  
Chang Sun ◽  
Yibo Ai ◽  
Sheng Wang ◽  
Weidong Zhang
Keyword(s):  
High Speed ◽  
Large Scale ◽  
Design Method ◽  
Contextual Information ◽  
Real Life ◽  
Single Shot ◽  
Traffic Sign ◽  
Traffic Signs ◽  
High Level ◽  
Anchor Design

Detecting and classifying real-life small traffic signs from large input images is difficult due to their occupying fewer pixels relative to larger targets. To address this challenge, we proposed a deep-learning-based model (Dense-RefineDet) that applies a single-shot, object-detection framework (RefineDet) to maintain a suitable accuracy–speed trade-off. We constructed a dense connection-related transfer-connection block to combine high-level feature layers with low-level feature layers to optimize the use of the higher layers to obtain additional contextual information. Additionally, we presented an anchor-design method to provide suitable anchors for detecting small traffic signs. Experiments using the Tsinghua-Tencent 100K dataset demonstrated that Dense-RefineDet achieved competitive accuracy at high-speed detection (0.13 s/frame) of small-, medium-, and large-scale traffic signs (recall: 84.3%, 95.2%, and 92.6%; precision: 83.9%, 95.6%, and 94.0%). Moreover, experiments using the Caltech pedestrian dataset indicated that the miss rate of Dense-RefineDet was 54.03% (pedestrian height > 20 pixels), which outperformed other state-of-the-art methods.

scholarly journals Habits as action sequences: hierarchical action control and changes in outcome value

2014 ◽  
Vol 369 (1655) ◽  
pp. 20130482 ◽  
Author(s):  
Amir Dezfouli ◽  
Nura W. Lingawi ◽  
Bernard W. Balleine
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Neural Structure ◽  
Action Sequence ◽  
Action Sequences ◽  
Directed Action ◽  
Sequence Boundaries ◽  
High Level ◽  
Step Over ◽  
Two Sides

Goal-directed action involves making high-level choices that are implemented using previously acquired action sequences to attain desired goals. Such a hierarchical schema is necessary for goal-directed actions to be scalable to real-life situations, but results in decision-making that is less flexible than when action sequences are unfolded and the decision-maker deliberates step-by-step over the outcome of each individual action. In particular, from this perspective, the offline revaluation of any outcomes that fall within action sequence boundaries will be invisible to the high-level planner resulting in decisions that are insensitive to such changes. Here, within the context of a two-stage decision-making task, we demonstrate that this property can explain the emergence of habits. Next, we show how this hierarchical account explains the insensitivity of over-trained actions to changes in outcome value. Finally, we provide new data that show that, under extended extinction conditions, habitual behaviour can revert to goal-directed control, presumably as a consequence of decomposing action sequences into single actions. This hierarchical view suggests that the development of action sequences and the insensitivity of actions to changes in outcome value are essentially two sides of the same coin, explaining why these two aspects of automatic behaviour involve a shared neural structure.

Development of the Urban Environment Based on the Optimization of Management Decision-Making

2020 ◽  
Vol 26 (3) ◽  
pp. 322-327
Author(s):  
V. M. Medvedev
Keyword(s):  
Decision Making ◽  
Urban Environment ◽  
Management Decision ◽  
Practical Implementation ◽  
Management Decisions ◽  
Environment Management ◽  
Management Decision Making ◽  
High Level

The presented study identifies approaches to decision-making aimed at the optimal development of the urban environment.Aim. The study aims to develop proposals for improving methodological approaches aimed at the development of the urban environment and for using these approaches in the preparation of the corresponding management decisions.Tasks. The author assesses the problem of urbanization and shows how it affects the need to modernize the urban environment; formulates the principles of optimization of management decision-making aimed at the development of the urban environment; evaluates the possibility of the practical implementation of these principles (through the example of the federal city of St. Petersburg).Methods. This study uses strategic analysis, systems and case-based approach, comparative and retrospective analysis.Results. The practical aspects of designing the processes and approaches to urban environment management are examined. The efficiency of management is shown to depend largely on the optimization of management decisions that could improve the effectiveness of individual services aimed at the formation and development of a modern urban environment in the long term. The study describes the successful experience of St. Petersburg in developing the complex of urban environment management services.Conclusions. Improving urban environment management is an important aspect of increasing the population’s quality of life. As evidenced by St. Petersburg’s experience, to achieve a high level of comfort in the urban environment it is necessary to actively use the principles of consistency, innovation, and public participation in decision-making. The author recommends normative consolidation of these principles and their more active practical application in the management of Russian cities.

The Role of Smart Technologies to Support Citizen Engagement and Decision Making

2022 ◽  
pp. 687-703
Author(s):  
Gabriela Viale Pereira ◽  
Gregor Eibl ◽  
Constantinos Stylianou ◽  
Gilberto Martínez ◽  
Haris Neophytou ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Real Life ◽  
Digital Technologies ◽  
Data Driven ◽  
Social Media Data ◽  
Life Problems ◽  
Smart Technologies ◽  
High Level ◽  
Media Data

Smart government relies both on the application of digital technologies to enable citizen's participation in order to achieve a high level of citizen centricity and on data-driven decision making in order to improve the quality of life of citizens. Data-driven decisions in turn depend on accessible and reliable datasets, which open government and social media data are likely to promise. The SmartGov project uses digital technologies by integrating open and social media data in Fuzzy Cognitive Maps to model real life problems and simulate different scenarios leading to better decision making. This research performed a multiple-case analysis in two pilot cities. Both municipalities use the technologies to find the best routes: Limassol to improve the garbage collection and Quart de Poblet to improve the walking routes of chaperones guiding children to school. The article proposes a generic framework for Smart City Governance focusing on the inputs and outcomes of this process in the use of technologies for policy making built based on the analysis of the SmartGov.

scholarly journals Social Change, Dress and Identity

2020 ◽  
Vol 65 (1) ◽  
pp. 107-186
Author(s):  
Ágnes Fülemile
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Self Awareness ◽  
Urban Context ◽  
Traditional System ◽  
Peasant Communities ◽  
Life Paths ◽  
Individual Decisions ◽  
Dress And Identity ◽  
High Level

The article, based on extensive ethnographic fieldwork, studies the process of the disintegration of the traditional system of peasant costume in the 20th century in Hungary in the backdrop of its socio-historic context. There is a focused attention on the period during socialism from the late 1940s to the end of the Kádár era, also called Gulyás communism. In the examined period, the wearing and abandonment of folk costume in local peasant communities was primarily characteristic of women and an important part of women’s competence and decision-making. There was an age group that experienced the dichotomy of peasant heritage and the realities of socialist modernisation as a challenge in their own lifetime – which they considered a great watershed. The author interviewed both the last stewards of tradition who continued wearing costume for the rest of their lives and those who pioneered and implemented changes and abandoned peasant costume in favor of urban dress. The liminal period of change, the character and logic of the processes and motivations behind decision-making were still accessible in memory, and current dressing practices and the folklorism phenomena of the “afterlife” of costume could still be studied in real life. The study shows that costume was the focus point of women’s aspirations, attention, and life organization, and how the life paths of strong female personalities were articulated around clothing. It also reveals that there was a high level of self-awareness and strong emotional attachment in individual relationships to clothing in the rural context, similar to – or perhaps even exceeding – the fashion-conscious, individualized urban context. Examining the role of fashion, modernization, and individual decisions and attitudes in traditional clothing systems is an approach that bridges the mostly distinct study of folk costume and the problematics of dress and fashion history research.

scholarly journals CORRELATION BETWEEN EMOTIONAL INTELLIGENCE AND INTUITIVE DECISIONMAKING STYLE AMONG TOP AND MIDDLELEVEL MANAGERS IN SLOVENIAN AUTOMOTIVE INDUSTRY

2016 ◽  
Vol 1 (9) ◽  
Author(s):  
Ivan Erenda ◽  
Maja Meško ◽  
Boris Bukovec
Keyword(s):  
Decision Making ◽  
Emotional Intelligence ◽  
Statistical Analysis ◽  
Automotive Industry ◽  
Scientific Evidence ◽  
Middle Level ◽  
Limited Resources ◽  
Intuitive Decision Making ◽  
High Level

A high level of dynamics in automotive industry requires a high level of skillsfrom its managers to deal with the surprising and unexpected new challenges.According to the testimony of scientific evidence through the use of intuition and intime limited resources, decision-making can improve the time needed to solve them,as well as improve the quality of decisions. The main purpose of the study is toidentify possible correlation between level of emotional intelligence and intuitivedecision-making among top and middle-level managers in Slovenian automotiveindustry. The study included 150 managers in Slovenian automotive industry. Thedata was collected by using two questionnaires. The first questionnaire was used inorder to determine emotional intelligence (SSEIT questionnaire) and the secondquestionnaire was used to identify decision-making style (GDMS questionnaire)among researched managers. Statistical analysis was carried out using SPSS forWindows 17.0, which showed high correlation between level of emotionalintelligence and intuitive decision-making style among top and middle-level managersin Slovenian automotive industry.

scholarly journals Cooperative Loitering Munition Swarm Online Patrolling Route Planning with Nonlinear Seeker Measurement

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Haifeng Ling ◽  
Hongchuan Luo ◽  
Linyuan Bai ◽  
Tao Zhu ◽  
Qing Wang ◽  
...  
Keyword(s):  
Decision Making ◽  
Cooperative Control ◽  
Information Quality ◽  
Autonomous Systems ◽  
Route Planning ◽  
Nonlinear Property ◽  
Airborne Radar ◽  
Autonomous Decision ◽  
Non Gaussian

With the development of autonomous systems, the operational use of loitering munition is shifting from the following of a preplanned fixed route without communication to smart decision-making and collaborative cooperation with sharing information. In this paper, we study the autonomous decision-making and cooperative control strategy of online patrolling for a swarm of loitering munitions using communication to coordinate their route based on maximizing the information they gathered in the operation region. Taking the non-Gaussian nonlinear property of airborne radar seeker into account, we utilized a particle filter-based method to evaluate or to predict the information quality of each action candidate. We also implemented a coordinate descent scheme to enable a distributed and scalable swarm decision-making. Simulation results show that the proposed method provides a better estimation than baselines without the need for external or centralized decision agent.

Launch and closure of an Indian cement plant

2011 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Margie Parikh
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Subject Area ◽  
Content Type ◽  
Anchoring Bias ◽  
New Business ◽  
Subject Areas ◽  
Senior Officers

Subject area Decision making, behavioural decision making, heuristics, optimistic bias, confirmatory bias, anchoring bias, ready mix cement (RMC) business in India. Study level/applicability Post graduate management course, executive training program in the subject areas. Case overview Arco is a Projects and Infrastructure-sector company. Some of its key officials, believing that entering the RMC can be beneficial for Arco, plan entry into the manufacturing of RMC but order a feasibility report. The report confirms the hunch and Arco starts the business under the aegis of its associate, EG Ltd (EGL) which is into equipment rental business. At this time a new dimension of reality opens up but the senior officers refuse to accept a revised proposal which is adjusted to the new realities. After a few months and some losses, EGL closes down the RMC plant and rents it out. Expected learning outcomes This case study is developed with a purpose to provide a basis to discuss how decisions are taken in real life and how various behavioural elements affect the quality of decisions that affect not only the decision makers but many others and their organizations. Focus is especially on prejudice, heuristics and bias that creep into important organizational decisions such as venturing into new business. Supplementary materials Teaching note.

BEHAVIORAL DECISION MAKING WITH COMBINED STATES UNDER IMPERFECT INFORMATION

2013 ◽  
Vol 12 (03) ◽  
pp. 619-645 ◽  
Author(s):  
RAFIK A. ALIEV ◽  
WITOLD PEDRYCZ ◽  
OLEG H. HUSEYNOV
Keyword(s):  
Decision Making ◽  
Prospect Theory ◽  
Expected Utility ◽  
Imperfect Information ◽  
Wide Spectrum ◽  
Real Life ◽  
Suggested Approach ◽  
Behavioral Decision Making ◽  
Behavioral Decision ◽  
Special Cases

Behavioral decision making is an area of multidisciplinary research attracting growing interest of scientists and practitioners, economists, and business people. A wide spectrum of successful theories is present now, including Prospect theory, multiple priors models, studies on altruism, trust and fairness. However, these theories are developed for precise and complete information, whereas real information concerning a decision maker's (DM) behavior and environment is imperfect, qualitative, and, as a result, often described in natural language (NL). We suggest an approach based on modeling a DM's behavior by a set of states. Each state represents a certain principal behavior. In our approach, states of nature and DM's states constitute a single space of combined states. For formalizing relevant information described in NL, we use fuzzy set theory. The utility model is based on Choquet-like integration over combined states. The investigations show that Expected Utility, Choquet Expected Utility and Cumulative Prospect Theory are special cases of the suggested approach. We apply the suggested approach to solving a benchmark and a real-life decision problem. The obtained results show validity of the suggested approach.

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