Soft Computing - A Fusion of Foundations, Methodologies and Applications

This paper proposes a hybrid genetic algorithm and data envelopment analysis framework for solving the fixed cost allocation (FCA) problem. The proposed framework allows managers to incorporate different FCA sub-objectives for efficient and inefficient ...

Multi-criteria decision analysis has been used to solve many problems. Here we describe an adaptation of PROMETHEE for measuring productivity. The results of PROMETHEE productivity analysis are displayed graphically, permitting the user to distinguish ...

This paper applies the conventional DEA model and super-efficiency analysis in measuring the efficiency of an electricity distribution utility which involves 12 power lines as DMUs. The input indicators considered are purchased electricity supply and ...

Reliability analysis comprises statistical analysis techniques that make inferences based on life time data. Swift progress has been observed in life time data analyses during the last few decades. Accelerated life testing models are regarded as the ...

As a subclass of neutrosophic sets, single-valued neutrosophic sets (SVNS) can be used to represent uncertainty and inconsistent information that exist in real-world situations. Information measures play an important role in SVNS theory, which has ...

Shopping malls (SMs) are one of the prides of cities with their attractive appearance, charming stores and different consumer types. The heavy competition, ever increasing and diversifying consumer expectations alongside the changes in the demand ...

The process of criteria prioritization and weighting is an important part of multiple attributes decision making. The most frequently applied multi-attribute decision-making weighting tools include analytical hierarchy process, stepwise weight ...

The suitable choice of the materials forming the wearing course of highly trafficked roads is a delicate task because of their direct interaction with vehicles. Furthermore, modern roads must be planned according to sustainable development goals, which ...

This work presents ranking alternatives under fuzzy multiple criteria decision making (MCDM) via an inverse function-based total utility approach, where ratings of alternatives versus qualitative criteria as well as importance weights of all criteria ...

A neutrosophic cubic set (NCS) consists of both an interval neutrosophic set and a single-valued neutrosophic set. Hence, NCSs are very suitable for expressing the hybrid information of both the interval neutrosophic set (related to the uncertain part ...

Supply chain management (SCM) is an attractive area for research which has seen tremendous growth in the past decades. From the literature we observe that, supplier outsourcing (SO) is a highly explored research field in SCM which lacks significant ...

We study the consistency property, and especially the acceptably consistent property, for incomplete interval-valued intuitionistic multiplicative preference relations. We propose a technique which first estimates the initial values for all missing ...

Decision-makers (DMs) usually encounter the problem of preference transfer when making decisions about emergencies in a complex environment. We propose a new method for dynamic emergency decision-making for large-group risk based on cumulative prospect ...

This paper aims to develop a comprehensive hierarchical performance measurement model. The proposed model not only determines a manufacturing company's overall performance within its industry but also obtains its strengths and weaknesses in critical ...

The present paper aims to study a special class of equality algebras, called involutive equality algebra. We obtain some properties of this structure and prove that every linearly ordered 0-compatible equality algebra includes a $$(\sim _0)$$(~0)-...

For a new class of algebras, called $${ EMV}$$EMV-algebras, every idempotent element a determines an $${ MV}$$MV-algebra which is important for the structure of the $${ EMV}$$EMV-algebra. Therefore, instead of standard homomorphisms of $${ EMV}$$EMV-...

In this paper, a new approach to fuzzy convergence theory in the framework of stratified L-topological spaces is provided. Firstly, the concept of stratified L-prefilter convergence structures is introduced and it is shown that the resulting category is ...

Computation of rough set approximation (RSA) is a critical step for attribute reduction and knowledge acquisition in rough set theory. Continuously improving computation efficiency of RSA is very meaningful, because it can enhance user experience of ...

Acute coronary syndrome (ACS) is responsible for the obstruction of coronary arteries, resulting in the loss of lives. The onset of ACS can be determined by looking at the various signs and symptoms of a patient. However, the accuracy of ACS ...

The fruit fly optimization algorithm (FOA) has been developed by inspiring osphresis and vision behaviors of the fruit flies to solve continuous optimization problems. As many researchers know that FOA has some shortcomings, this study presents an ...

As one of the key research topic in multi-criteria group decision making (MCGDM), aggregation operator has been drawn widespread concern from academics and practitioners. In order to reflect the characteristics of human decision, it is necessary to ...

Most of the meta-heuristic algorithms are based on the natural processes. They were inspired by physical, biological, social, chemical, social---biological, biological---geography, music, and hybrid processes. In this paper, artificial atom algorithm ...

This paper presents a detailed study of the discrete particle swarm optimization algorithm (DPSO) applied to solve the dynamic traveling salesman problem which has many practical applications in planning, logistics and chip manufacturing. The dynamic ...

This paper aims to overcome the unstable identification results and weak generalization ability in feature extraction based on manual design to realize the automatic weeds identification. On the basis of unsupervised feature learning identification ...

In recent years, researching on general type-2 fuzzy logic systems (GT2 FLSs) has become a hot topic as the development of alpha-planes representation of general type-2 fuzzy sets. The iterative Karnik---Mendel (KM) algorithms are used to perform the ...