Fuzzy Information and Engineering

Zapletal, F.

2019 Fuzzy Information and Engineering

doi: 10.1080/16168658.2020.1853992

Emissions trading within the Emissions Trading Scheme of the European Union (EU ETS) influences European industrial companies since 2005. The companies must choose their strategy, how to reduce the costs of emissions allowances. The changing system's conditions and volatile price of allowances make this decision very tough. Moreover, the effect of this system on companies still increases as the policy-makers want to increase its efficiency, and the emission price increases. Despite several studies devoted to the relationship between the EU ETS and companies have already been published, there is still a gap in this field. Authors usually use the stochastic approach, which is not always applicable and it reveals the expected future result. In this paper, the potential range of impact of emissions trading is explored. Namely, the multi-period fuzzy possibilistic programming model is developed to reveal possible costs of emissions trading, optimal strategy on allowances and effect of banking the allowances for hedging against the risk. The model is verified using the data of a real-life industrial company. The results show that the costs of emissions trading are perceptible for the company and they can be reduced by up to 6% using banking.

Izadi, Amir; Nabipour, Mohammad; Titidezh, Omid

2019 Fuzzy Information and Engineering

doi: 10.1080/16168658.2019.1706960

This paper presents a detailed comparative review of cost models and cost factors published in a number of studies on freight transportation. It attempts to determine and categorise cost factors from a different point of views in the reviewed studies which include cost factors (operational costs, value of time and external costs), study area (Europe, the United States, North America and Asia) and cost models (activity-based costing (ABC), statistical models, surveys, data mining, GIS, meta-analysis and Mathematical models). The results are assessed by comparison with the reviewed studies. The paper also proposed two model structures; (1) Road freight transportation costs (2) Road freight transportation cost estimating methods and data gathering. These models are designed to identify any gaps between the types of cost or any inconsistencies in cost factors and consist of an overall structure and multiple substructures.

Farahat, F. A.; ElSayed, M. A.

2019 Fuzzy Information and Engineering

doi: 10.1080/16168658.2020.1831356

This paper introduces an algorithm for researching the achievement stability set for parametric rough linear goal programming (PRLGP) issues with parameters in the achievement function and roughness in goal and system constraints. The proposed goal programing model has two types of uncertainty. We transform the PRLGP into an upper approximation model and a lower approximation model. Then, the Lexicographical goal programing method is utilized to solve such upper and lower approximation models iteratively to avoid the complexity of the attainment issue. This model has been applied as it enables the decision-maker to articulate the weights for goals however, for the sub-goals it shall be complicated as they possess the same measure. Finally, to clarify how to investigate the achievement stability set for the PRLGP, an algorithm and a numerical illustration was given.

Das, Kousik; Samanta, Sovan; Naseem, Usman; Khalid Khan, Shah; De, Kajal

2019 Fuzzy Information and Engineering

doi: 10.1080/16168658.2020.1805253

For the development of any organization, evaluation of performance is an important task. To analyze the performance, Das et al. introduced a ranking framework based on fuzzy logic. That framework compared the current NIRF system of Indian Institutions with the fuzzy logic-based Mamdani system, KSM index. In that study, uniform membership functions are not taken. This study will focus on the ranking system based on Mamdani and Sugeno with fuzzy triangular numbers as input values of membership functions. Also, the updated results are compared with existing NIRF systems and considered Top 20 institutions of India for the year 2019 as per NIRF.

Talaee, Behnam

2019 Fuzzy Information and Engineering

doi: 10.1080/16168658.2020.1824380

The concept of an intuitionistic fuzzy set, which is a generalisation of fuzzy set, was introduced by K. T. Atanassov in 1986. In this paper using of intuitionistic fuzzy small submodules we get some results about this kind of fuzzy submodules. First we give some preliminary properties of intuitionistic fuzzy submodules. Then we attempt to investigate various properties of intuitionistic fuzzy small submodules. A necessary and sufficient condition for intuitionistic fuzzy small submodules is established. We investigate the nature of intuitionistic fuzzy small submodules under direct sum. Also we study on relation between intuitionistic fuzzy small submodules and level subsets of them, and get some interesting results in this sense.

Meryline S., Arul Roselet; Kennedy, Felbin C.

2019 Fuzzy Information and Engineering

doi: 10.1080/16168658.2020.1870339

In this paper, we introduce an operation union on the collection of soft fuzzy numbers [1] related to multi-parameter set and elucidated with a hypothetical example. For a given soft fuzzy number valued information system ( ), we define a strict partial ordering and a fuzzy number valued utility function on the initial universal set relating to each attribute, which in turn yields a utility soft information corresponding to each entity. We also define a finite collection of soft fuzzy number valued information systems, soft fuzzy number valued hierarchical information systems and their corresponding soft unions. A group decision-making problem with individual attribute set for decision makers wherein the perceptions are expressed using soft fuzzy numbers is modelled involving the collection of soft fuzzy number valued information systems. Such a problem is called soft fuzzy group decision-making problem. A new procedure to solve the problem of finding importance (weights) of the decision makers in such a situation is also proposed in which utility soft information plays a major role. An algorithm is developed to solve the same. Validation of the methodology is shown with an illustration of real life situation.

Arya, Vikas; Kumar, Satish

2019 Fuzzy Information and Engineering

doi: 10.1080/16168658.2020.1840317

The utilisation of Management information system has grabbed the attention since last decades. The selection of management sources is a difficult assignment for decision-experts. Thus, the present article develops a new technique using entropy measures and a novel extended VIKOR-TODIM model of Intuitionistic Fuzzy Sets. A new parametric entropy measure based on Havrda–Charvat–Tsallis entropy for a probability distribution is proposed and discussed their particular cases. Some properties of this measure has been proved mathematically. A comparison of proposed entropy measure with several existing entropy measures is shown to demonstrate the consistency of the proposed approach. In this paper, we proposed an integrated approach based on VIKOR and TODIM and entropy-weighted method for solving multi-criteria decision-making problems under intuitionistic fuzzy environment and the criteria weights are partial known. Firstly, the problem with multi-criteria decision-making is designed and the steps, principles of the proposed VIKOR-TODIM method are presented. Finally, to verify the applicability and feasibility of the proposed approach, a problem of management information system in a teaching hospital is presented and compared the results with other existing methods. The present work demonstrated, that the proposed VIKOR-TODIM is effective to select and evaluate management information system in any organisation.