Javad Jassbi

Institute for the Development of New Technologies | uninova · RICS

There are many studies done by different research teams around the globe in which their main concern is the influence or impact of the emerging technologies on the well-being of humankind. In this study, by using text mining algorithms and decision science theories in a framework of content analysis, the weights of the emerging technologies in diff...

Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing the digital transformation of industrial companies employing emerging technologies. Factories of the future will enjoy hybrid solutions, while quality is the heart of all manufacturing systems regardless of the type of production and products. Quality 4.0 i...

Hazards are part of human life and every year thousands of people are affected by different types of natural or human provoked disasters. The evacuation is a crucial part of any rescue plan and there are many procedures and standards to support the process. Nevertheless, traditional methods and procedures need radical changes according to the “4.0”...

ICDSST – the International Conference on Decision Support System Technology – is the flagship event of the Euro Working Group of Decision Support Systems (EWG-DSS). The ICDSST series of conference is relatively young and vibrant (since 2015), while its predecessor, including EWG-DSS workshops and summer schools, has a long tradition. The EWG-DSS wa...

Resilience measurement can be viewed as a multicriteria hierarchical decision making problem since calculating the final level of resilience involves measuring different criteria, at several hierarchical levels, and then merging the information together. In this paper, a resilience model for disaster rescue networks is discussed with a full-reinfor...

The level of intelligence in monitoring & controlling systems are increasing dramatically. The critical issue for an autonomous resilient system is detecting the anomalous behavior through standard patterns to react properly and on time. In cyber-physical systems with the interaction of humans and machines, this will be more complicated. Deceptive...

Emerging technologies could affect future of factories and smartness is the main trend to receive that points. Quality was important and will be crucial in future but the question is how to build Smart Systems to guaranty quality in workshop level. This is an important challenge in Industry 4.0 paradigm. In this paper the main objective is to prese...

This chapter presents a model-driven evaluation support system (ESS) for open competitions within Earth Observation (EO) topics, which was part of a project financed by ESA (European Space Agency). One objective of the project was to deliver a collaborative platform that, through Data Challenges (i.e. open competitions), could improve the adoption...

The augmentation of physical devices and resources with electronics, software, sensing elements and network connectivity is a " hot topic " as confirmed also by the several research projects and activities on internet-of-things (IoT) and cyber-physical systems (CPS) research streams. It is obvious that intelligent products are taking more responsib...

The objective of this paper is to develop a hybrid decision making system using Data Envelopment Analysis (DEA) and linguistic fuzzy models for selecting the best supplier in the presence of multiple decision makers. In this hybrid system, first the weights of selected criteria are obtained from each of the decision makers as linguistic fuzzy numbe...

Disasters by their very nature are unpredictable so being prepared to react in short time and with high efficiency is vital. The adoption of the collaborative networks paradigm in disaster management can lead to a new generation of rescue teams so called Disaster Rescue Network (DRN). During the first hours after a disaster, and before external hel...

Disasters by their very nature are unpredictable so being prepared toreact in short time and with high efficiency is vital. The adoption of the collaborative networks paradigm in disaster management can lead to a new generation of rescue teams so called Disaster Rescue Network (DRN). During the first hours after a disaster, and before external help c...

Purpose – The purpose of this paper is to design a model to outline the structure of communities of practice (CoPs) corresponding to organizational context. Design/methodology/approach – This research utilizes both descriptive and prescriptive approaches, as the authors are looking for a comprehensive relational model to deal with the problem of s...

Nowadays SMEs are facing a more challenging environment due to the unpredictability of markets in order to survive. Enterprises need to keep innovating and deliver products with new internal or external characteristics. To do that, companies have to deal with the changes in a new manufacturing system while it could be expensive and not easy to be i...

Cloud manufacturing (CMfg) arises as a novel paradigm for enabling future manufacturing companies to be responsive, (re)-configurable, adaptable, and flexible, in one word: agile. CMfg allows companies to deploy and manage all the manufacturing information over the network improving enterprises visibility/transparency while opening the doors to the...

Multiple Criteria Decision Making (MCDM) models make preference decisions over multiple attributes’ alternatives available, which in most of the cases conflict among themselves. On the other hand, the classic MCDM model assumes that the decision maker has a pre-defined fixed set of criteria, when taking a decision, and is presented with a clear pic...

Dynamic multi-criteria decision making (DMCDM) is an emerging subject in the decision-making area and in the last decade the challenge to consider time as an important variable has become important. Some frameworks already exist in this area but when compared with other types of decision-making models, DMCDM needs more work to be applicable in real...

Dynamic multi-criteria decision making (DMCDM) is an emerging subject in the decision-making area and in the last decade the challenge to consider time as an important variable has become important. Some frameworks already exist in this area but when compared with other types of decision-making models, DMCDM needs more work to be applicable in real...

In increasingly competitive business environ-ments, business excellence models play crucial roles in organizational successes. Numerous or-ganizations implement business excellence mod-els to obtain business excellence. To monitor the progress towards business excellence, thousands of organizations across the world use business ex-cellence framewor...

In this article, a novel platform is addressed for modeling and simulating cause and effect relationships of strategy map. Our work is constructed from two components. First, we identify and model the causal relationships among strategic objectives using adaptive fuzzy cognitive maps. Then, we will recognize and simulate the interrelatedness of cau...

A new fuzzy approach is developed for defining the general criticality of activities where some other features such as probability of finishing on time zone, probability of impact, impact threat and ability to retaliate are considered as criticality factors of activities in project management process. In this way the risky situation (vulnerability)...

In increasingly competitive business environments, business excellence models play crucial roles in organizational successes. Numerous organizations implement business excellence models to obtain business excellence. To monitor the progress towards business excellence, thousands of organizations across the world use business excellence frameworks....

Power network stability requires a timely failure detection and operator reaction. The protection devices and operators have responsibilities for the failure detection in a power system. In other words, alarms being received from the protection devices are displayed to the operator by SCADA to respond to the respective appropriate and timely action...

Air pollution caused by highway traffic is one of the major problems of Iran’s capital, Tehran. Application of modern electronic systems and devices can reduce or even cut urban travels and the air pollution caused by vehicles. In this study, the main objective is to propose a pattern to prioritize electronic solutions (e-solutions) based on the re...

There are a few popular business excellence models that provide standard criteria against which an organization can measure its performances. European Foundation for Quality Management (EFQM) is the most popular one. The organizational self-assessment process is an admissible system in the area of Total Quality Management (TQM). Most specialists co...

Strategy mapping is the most important task in building a Balanced Scorecard system, and so must be the first of the sequential stepwise processes for BSC system design. The process of building the strategy map shows, it is a human centric process in which all executives' preferences, experiences and knowledge are in place to reach to a uniform con...

In a growingly competitive business environment, numerous organizations adopt the total quality management (TQM) approach, to struggle for business excellence. To monitor the progress towards business excellence, thousands of organizations across the world use self-assessment on a regular basis. There are a few popular business excellence models, t...

The Balanced Scorecard (BSC) is a widely adopted performance management framework first introduced in the early 1990s. More recently, it has been proposed as the basic for a strategic management system. Strategy mapping is the most important task in building a Balanced Scorecard system. Strategy mapping is the process for visually making cause and...

Transportation planning is one the most important problems of urban management systems. Meanwhile, modeling trip flows between metropolitan zones is vital to a successful transportation planning. Due to importance of the problem, different models have been developed in recent years but because of the complex nature of the problem that deals with hu...

In an increasingly competitive business environment, many organizations have adopted the strategic planning approach in an attempt to achieve excellence in business. Implementation of appropriate strategies plays an important role for organizations' success. Balanced scorecard is an appropriate tool used for designing operational strategies. Howeve...

Most large construction projects are accompanied with a plethora of impacts which either increase or reduce different utilities. A fall in the environmental utility, which is usually among the consequences of construction projects in the long run, arises from three different sources: mismanagement of projects, the nature of the development and lack...

In a growingly competitive business environment, numerous organizations adopt the total quality management (TQM) approach, to struggle for business excellence. To monitor the progress towards business excellence, thousands of organizations across the world use self-assessment on a regular basis. There are a few popular business excellence models, t...

In recent years there is a tendency for using new modeling techniques such as agent based modeling in physical and social sciences rather than previous variable based modeling techniques. Researchers who use these techniques justify that they could model emergence, self-organization and adaptation which are properties of complexity theory. These pr...

In this paper we have developed an approach based on Adaptive Neuro Fuzzy Inference System (ANFIS) for measurement of agility in a Supply Chain. An Agile Supply Chain (ASC) is frequently considered as a dominant competitive advantage. As complexity and vagueness of agility in global markets must be considered to be one of the essential characterist...

Automotive industries try to develop their technologies to improve quality and to minimize scrapes and wastes. In the paint shop vehicle, quality control generally relies on inspection. Industries try to develop their technologies to improve quality via proactive quality control. This paper investigates the predictability of the paint thickness to...

In this paper a new fuzzy dynamic Multi Criteria Decision Making model is introduced for decision making in scheduling problems, where the dynamical behavior (the time dependency) of the system is taken to account. After generating fuzzy dynamic decision matrix, the sets of fuzzy decision values of alternatives are determined. Different alternative...

Modeling of uncertainty is the main goal of modern scientific view in System Era. The challenge in complex problems such as managerial decision making is to model relations between components which cause uncertainty in real world problem. Dealing with imprecise data in nonlinear environment and in a lack of historical data is very usual in manageri...

In this paper a new approach for predicting the project duration is introduced. Fuzzy values with beta shape memberships are used -Instead of using the pessimistic, most likely and optimistic values -for estimating the durations of activities. Also the possibility of performing any activity in estimated duration is taken to account by using beta sh...

One of the most important difficulties of researchers in multi attribute decision making problems is the determination of weights of criteria. Different methods are introduced for this purpose in MADM literature. Some methods are based on individual ideas of experts or decision makers and some others are based on the structure of decision matrix. T...

In this paper we have developed an approach based on Adaptive Neuro Fuzzy Inference System (ANFIS) for measurement of agility in Supply Chain. An Agile Supply Chain (ASC) is frequently considered as a dominant competitive advantage. As complexity and vagueness of agility in global markets must be considered as one of the essential characteristics o...

Supply chain flexibility assessment (SCFA) has been considered as a major determinant of competitiveness in world class manufacturing. The environmental issues as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today's research studie...

Strategic planning is expressly significant for organization's success and competitive advantage making in an increasingly competitive business environment. Implementation of applicable strategies plays an important role for organizations' success. Balanced scorecard is a suitable tool for designing operative strategies. However, one of the balance...

The main objective in the time cost trade-off problems has always been the reduction in the total cost. In the previous researches the total cost function has been defined 3 * corresponding author e-Mail: shahriari. using some elements such as direct costs, indirect costs and opportunity costs whereas the missing element which has not been so far d...

Route selection could be a part of most transportation planning scenarios from transportation planning for metropolitan areas to transportation of goods and materials. Meanwhile, as the importance of the subject of transportation increase, the sensitivity of the route selection procedure increase meaningfully. Due to the risk that is tied with tran...

Environmental Impacts Assessment has been developed as a critically substantial approach to determine, predict and interpret the ecological impact on the environment, public hygiene and healthy ecosystems. This study aims to introduce and systematically investigate the environmental issues during important decision-making stages. Meanwhile, impacts...

Resources limitations and requirements and representing a lot of objectives, have made inevitable the necessity of applying optimal and efficient available capabilities in each organization. For this reason, ranking of goals along with organizational goals in each organization cannot be avoided and also most of successful companies pay more attenti...

Environmental impact assessment essentially depends on diverse closely connected components and variables. For this purpose, identification of the whole components is fundamentally required. This study aims to investigate environmental impact assessment of an urban man-made lake in the western part of Tehran, based on recognition of affecting compo...

Supply Chain Agility Assessment has been considered as one of the most important issues in world class manufacturing research study. The environmental issue as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today¿s research study. T...

In this paper a fuzzy model based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is introduced for calculating the level of risk in managerial problems. In this model, affecting factors on the level of risk are considered as inputs and the level of risk as the output. Using the fuzzy model, the risky condition changes smoothly in a fuzzy environm...

Due to limitations of classical weighted average aggregation operators, there is an increase usage of fuzzy integrals, like the Sugeno and Choquet integrals, as alternative aggregation operators. However, their applicability has been threatened by the crux of determining the fuzzy measures in real problems. One way to determine these measures is by...

Strategic planning is especially important for organization's success and creation of competitive advantage in a competitive and complicated environment, and on the other hand achievement and implementation of strategies can perform an important role for the purpose of organizations' success, balanced scorecard is a new tool for designing operation...

In classic critical path method the criticality of activities are determined by the total floats. However in real world applications the criticalities of activities are also based on their effects on project duration, cost, quality and so on. Activities can have a degree of criticality which can be determined based on different combinations of some...

Optimal trajectories in energetic environment for underwater vehicles can be computed using a numerical solution of the optimal control problem (OCP). An underwater vehicle is modeled with the six dimensional nonlinear and coupled equations of motion, controlled by DC motors in all degrees of freedom. An energy performance index that should be mini...

Fuzzy logic controllers are applied to various industrial and non-linear systems, however, their control rules and membership functions are usually obtained by time-consuming trial and error procedure. This paper presents a hybrid method for determining the fuzzy rules and membership functions simultaneously. The optimization process consists of a...

In many decision support applications, it is important to guarantee the expressive power, easy formalization and interpretability of Mamdani-type fuzzy inference systems (FIS), while ensuring the computational efficiency and accuracy of Sugeno-type FIS. Hence, in this paper we present an approach to transform a Mamdani-type FIS into a Sugeno-type F...

Choosing suitable individuals for different positions in an organization has always been one of the most important concerns of management scientists. Several mathematical models have been used to quantify the comparable merits of individuals for different jobs. These are generally developed in a deterministic environment and deal with precise data...

This research provides a comparison between the performances of TSK (Takagi, Sugeno, Kang)-type versus Mandani-type fuzzy inference systems. The main motivation behind this research was to assess which approach provides the best performance for a gyroscope fault-detection application, developed in 2002 for the European Space Agency (ESA) satellite...

The increasing usage of fuzzy integrals as aggregation operators, such as Sugeno and Choquet integrals, is threatened by the crux of determining the fuzzy measures in real problems. One way to determine these measures is by using historical data and tuning the parameters. During the past decade many algorithms have been introduced for this purpose...

J. J. Jassbi, P. J. A. Serra, R. A. Ribeiro, A. Donati. Comparison of Mamdani and Sugeno fuzzy inference systems for a space fault detection application. Proceedings of the World Automation Congress (WAC2006), Hungary, July 2006. http://www.uninova.pt/ca3/en/docs/06C-WACISSCI-nomdis.pdf

Selection of effective input variables on decision making or forecasting problems, is one of the most important dilemmas in forecasting and decision making field. Due to research and problem constraints, we can not use all of known variables for forecasting or decision making in real world applications. Thus, in decision making problems or system s...

The design of a mathematical model for evaluating and selecting suitable individuals for different jobs, as an optimal assignment problem, is usually one of the critical problems of managers of different organizations. In this paper a qualification matrix is introduced and is used to classify and select the qualified individuals for different jobs...